2023 |
Dabbaghi, Boudour; Hamidi, Faical; Jerbi, Houssem; Aoun, Mohamed Estimating and enlarging the domain of attraction for a nonlinear system with input saturation Conférence 2023. Résumé | Liens | BibTeX | Étiquettes: Actuator saturations, Algebra, Algebraic representations, Computational geometry, Convex hull, Differential algebraic, Differential algebraic representation, Domain of attraction, Input saturation, Nonlinear, Nonlinear systems, Stabilization problems @conference{Dabbaghi2023b, This paper focuses on the stabilization problem of a nonlinear system subject to actuator saturation. Such that the results are based on the differential algebraic representation and use of a convex hull description subject to the saturation effects. The contribution of this work is to estimate enlarging domain of attraction. Therefore, for find the largess domain of attraction, the block matrix-variable will be chosen. Numerical examples are provided to illustrate the efficiency of this new approach. © 2023 IEEE. |
Aloui, Messaoud; Hamidi, Faical; Jerbi, Houssem; Aoun, Mohamed Estimating and enlarging the domain of attraction for polynomial systems using a deep learning tool Conférence 2023. Résumé | Liens | BibTeX | Étiquettes: Deep learning, Domain of attraction, Learning systems, Learning tool, Linear matrix inequalities, Linear polynomials, Lyapunov functions, Lyapunov’s functions, Neural networks, Non linear, Particle swarm, Particle swarm optimization, Particle swarm optimization (PSO), Polynomial systems, Polynomials, Swarm intelligence, Swarm optimization @conference{Aloui2023b, This Paper deals with the topic of non linear polynomial systems. It explains a way to estimate and enlarge the region of attraction of nonlinear polynomial systems. It provides a deep learning method for estimating the domain of attraction and uses the Particle Swarm Optimization Algorithm to enlarge this domain. Based on an analytic method found in literature, a dataset is generated, used then to train an artificial neural network, which will be an objective function of an optimization algorithm. This method dives an imitation to a previous complicated method, with less complexity and les elapsed time. The benchmark examples show the efficiency of the method and compare results with those obtained with the one using linear matrix inequalities. © 2023 IEEE. |
Ounis, Walid; Chetoui, Manel; Najar, Salheddine; Aoun, Mohamed Programmable analogue fractional controller realization Conférence 2023. Résumé | Liens | BibTeX | Étiquettes: Analog circuits, Continuous time systems, Controllers, Digital potentiometer, First order, First order low-pass filter, Fractional integrators, Fractional-order controllers, Higher order dynamics systems, Low pass filters, Low-pass filters, Operational amplifiers, Potentiometers (electric measuring instruments), Programmable analog circuit, Programmable analogs, Real- time, Signal processing, Timing circuits @conference{Ounis2023b, A fractional-order controller is an infinite-memory system. It is described by a continuous time irrational transfer function. Its realization is a delicate problem especially when its parameters are real time tunable. This paper presents a real-time programmable analogue fractional controller implementation. The controller is based on a sum of a novel real-time programmable analogue first-order low-pass filter. The signal within the circuit remains analogue and is not converted into discrete values. Real-time adjustments are made using digital potentiometers and operational amplifiers. The proposed first-order low-pass filter offers several advantages. In particular, the time constant and DC gain are independently adjusted without relying on the ohmic value of digital potentiometers. The time constant and DC gain depend on the resolution of the digital potentiometers. The high resolution of the digital potentiometer enables the circuit to achieve a wide bandwidth and allows for the use of small capacitors at lower frequencies. The proposed real-time programmable analogue fractional controller is experimented to achieve a fractional integrator. The circuit yields good similarity between theoretical simulations and experimental measurements. © 2023 IEEE. |
Dadi, L.; Dinh, T. N.; Lamouchi, R.; Ethabet, H.; Raïssi, T.; Aoun, M. Zonotope-based Fault Estimation for Uncertain Discrete-Time Switched Linear Systems Conférence vol. 56, no. 2, Elsevier B.V., 2023, ISSN: 24058963, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Actuator fault; Discrete time; Discrete-time switched linear system; Fault estimation; LMI; Peak analysis; Peak-to-peak; Peak-to-peak analyse; Switched linear system; Zonotopes, Linear matrix inequalities, Linear systems; Lyapunov functions; Uncertainty analysis @conference{Dadi20239455, This paper investigates actuator fault estimation for discrete-time switched linear systems subject to unknown but bounded disturbances and measurement noises. By taking the fault as an auxiliary state vector, the proposed method consists of two steps. First, a switched L∞-based descriptor observer attenuating the effect of uncertainties is designed to obtain simultaneous point estimate of the system state and the fault term. Second, interval estimation is achieved by integrating robust point estimation with zonotopic analysis techniques. The observer gains are calculated by solving Linear Matrix Inequality (LMI) derived using a common Lyapunov function. Finally, the effectiveness of the proposed approach is demonstrated through a numerical example. Copyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Ivanov, D.; Yakoub, Z. Overview of Identification Methods of Autoregressive Model in Presence of Additive Noise Article de journal Dans: Mathematics, vol. 11, no. 3, 2023, ISSN: 22277390, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: @article{Ivanov2023, This paper presents an overview of the main methods used to identify autoregressive models with additive noises. The classification of identification methods is given. For each group of methods, advantages and disadvantages are indicated. The article presents the simulation results of a large number of the described methods and gives recommendations on choosing the best methods. © 2023 by the authors. |
Yamna, M. Ben; Dakhli, N.; Sakli, H.; Abdelkrim, M. N. High Efficiency Rectifier for 5G Applications Conférence IEEE Computer Society, 2023, ISSN: 21579822, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: 5g band; FR4 substrates; Higher efficiency; Input power; Microstrip Technology; Power conversion efficiencies; Power conversion efficiency; Rectenna; Rectifier; Schottky diodes, 5G mobile communication systems; Conversion efficiency; Electric rectifiers; Rectennas; Rectifying circuits; Schottky barrier diodes, Energy harvesting @conference{BenYamna2023, This article presents a rectifying circuit suitable for transfer and energy harvesting applications. The rectifier is designed by using microstrip technology on FR4 substrate, it is based on a single diode in series as topology and operates at 3.5 GHz corresponding to 5G band. The structure represents good results which demonstrate more than 21 dB input power range with an efficiency higher than 30 % and a peak of efficiency reached 67.6% and a voltage of 2.51 V for an input power of 14.8 dBm and a load of 310 Ω. © 2023 IEEE. |
Chouikhi, L.; Essid, C.; Sakli, H.; Salah, B. Ben Improvement in Isolation Between MIMO Antennas Using MTM Stop-Band Cells in the mm-Wave Band Conférence IEEE Computer Society, 2023, ISSN: 21579822, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: 5G mobile communication systems; Millimeter waves; Optical resonators; Ring gages, 5g; GHz band; Isolation; MIMO structure; MIMO-antennas; Mm-wave band; Mutual coupling; Splitring resonators; Stopband; X-Plane, Microwave antennas @conference{Chouikhi2023, In our work, an efficient method to minimize the mutual coupling (MC) from two symmetrical rectangle antennas (Ra) functioning at 26 GHz band is described. This is achieved by adding an arrangement of three split-ring resonator (SRR) cells (placed in the Y-plane) between 2-element MIMO antennas that are positioned in the X-plane. The SRR design is intended to provide bandstop functionality within the antenna bandwidth. As a result, the mutual coupling level is reduced by 23 dB while maintaining the antenna’s performance and by packing the MIMO structure with three cells of SRR. In addition, the prototype antenna’s simulated isolation varies from -32 to -55 dB on the frequency band of 25.5-26.6 GHz. The reflection coefficient is roughly -40 dB at 26 GHz, with a high gain of 7.5 dB and efficiency higher than 90%. This makes our antenna an effective competitor for MIMO applications at the 26 GHz band enabling the fifth generation (5G) cellular communications. © 2023 IEEE. |
Farhat, F.; Dahman, H.; Lloret, J.; Abdelkrim, N. Design and Implementation in VHDL-AMS of a Novel Reconfigurable Mono-bit Sigma Delta Modulator Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: 1-bit sigma delta ADC; Bluetooth/wi-fi/zigbee; Design and implementations; Reconfigurable; Reconfigurable sigma-delta modulator; Sigma Delta modulator; Single-bit; Third order; VHDL-AMS; Wireless sensor network applications, Bluetooth, Delta sigma modulation; Digital radio; Modulators; Radio receivers; Wireless local area networks (WLAN); Wireless sensor networks; Zigbee @conference{Farhat2023, This work presents the VHDL-AMS design and implementation of an innovative reconfigurable third-order single-bit sigma-delta analog-to-digital converter (ΣΔ ADC) tailored for a global ISM band radio receiver, covering Bluetooth, Zigbee, and Wi-Fi. The novelty of this design departs from the common use of integrators in ΣΔ modulators by emphasizing the design of delay components. This unique architecture maintains the oversampling frequency across different bands. The reconfigurability of the ADC is achieved by altering the modulator’s order. Specifically, in the Bluetooth and Zigbee bands, only the top two stages (2nd order mash 11) are active, while in the Wi-Fi band, all three stages (3rd order mash 111) are engaged. The reconfigurable ADC is implemented on a Xilinx board for practical application. © 2023 IEEE. |
Habib, M.; Kilani, R.; Zouinkhi, A.; Dahman, H. Trust Management Techniques in the Internet of Things Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Communication components; External systems; Management techniques; Processing capability; Security; Sensor processing; Trust contribution; Trust management; Trust management technique, Electronic data interchange; Information management; Trusted computing, Internet of things @conference{Habib2023, Internet of Things encompasses a network of interconnected devices that are furnished with sensors, processing capabilities, and communication components, enabling them to share data not only amongst themselves but also with external systems. The swift proliferation of interconnected devices, coupled with the escalating volume of data exchanged among them, has underscored the imperative for establishing trust management mechanisms among the diverse nodes within the IoT landscape. Within the confines of this paper, we elucidate the myriad techniques employed for trust management within IoT systems. This investigation seeks to offer a methodical delineation of pertinent trust management strategies, furnishing researchers with a comprehensible insight into how diverse IoT systems can effectively function and exchange information under a framework of trust. Comparative studies between the different approaches to trust management in IoT systems are presented and concluded by a synthesis in order to show the most interesting method applied to manage trust between IoT nodes. © 2023 IEEE. |
Abdelkrim, T.; Hassen, W. B.; Abdelkrim, N.; Tellili, A. Diagnosis and FTC : descriptor approach Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Continuous time systems; Delay control systems; Fault detection; Fault tolerance; Feedback control; Linear systems; State feedback; Time delay; Timing circuits, Descriptor approach; Fault diagnosis and identification; Fault estimation; Faults tolerant controls; Linear matrix in equalities; Observer; Sensors faults; System faults; Time-delay systems; Time-delays, Linear matrix inequalities @conference{Abdelkrim2023, In this paper we propose an approach of fault diagnosis and identification (FDI) and fault tolerant control(FTC) applied for time-delay continuous linear systems. To estimate the sensors faults descriptor approach is investigated. This method consists in augmenting the state system by considering the fault as an auxiliary state. The used observer can simultaneously estimate both the state system and sensors faults. The observer gains are then determined according to Linear Matrix Inequalities (LMI) technique. For fault tolerant control we present two control strategies which stabilize the system not only in free-fault case, but also in the fault occurrence. The first one consists in determine the state-feedback gain and the second one is based on the static output-feedback control. A numerical example is proposed to demonstrate the effectiveness and the merit of the given design. © 2023 IEEE. |
Hassen, W. Ben; Abdelkrim, T.; Abdelkrim, N.; Tellili, A. Control of an Uncertain Nonlinear System Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Adaptive backstepping; Adaptive Control; Advanced control; Control approach; Control laws; Lyapunov; Non-linear dynamic systems; Uncertain; Uncertain dynamic systems; Uncertain nonlinear systems, Adaptive control systems; Backstepping; Control theory; System stability, Uncertain systems @conference{BenHassen2023, This article presents an advanced control approach for nonlinear and uncertain dynamic systems using two powerful methods: Backstepping and Adaptive Backstepping. Nonlinear and uncertain systems are common in many industrial applications, and achieving effective control for them is a major engineering challenge. The Backstepping method, a control technique based on recursion, is first introduced to stabilize nonlinear and uncertain dynamic systems. It allows for the design of successive control laws by progressively moving up the chain of the system’s state variables, stabilizing them one by one. This approach offers significant flexibility in handling a variety of nonlinear and uncertain systems. Next, Adaptive Backstepping is presented as an extension of the basic method. This approach takes into account uncertainties and parametric variations in the system, making it particularly well-suited for systems whose characteristics may change over time. Adaptive Backstepping automatically adjusts control laws to maintain system stability and performance, even in the presence of unknown disturbances and uncertainties. © 2023 IEEE. |
Akermi, W.; Alyaoui, N.; Guiloufi, A. Benfradj; Chabir, K. A Review of RPL Based Routing Protocols in Vehicular Ad Hoc Networks (VANET) Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Conserve energy; End to end latencies; IoT; Low Power Networks; Network load; Packet routing; Resource limitations; Routing-protocol; RPL; Vehicular Adhoc Networks (VANETs), Internet of things; Internet protocols; Low power electronics; Mobile telecommunication systems; Vehicular ad hoc networks, Routing protocols @conference{Akermi2023, In the present day, the Internet of Things is becoming more and more popular. Enabling continuous connectivity and packet routing in this kind of network is difficult because of the resource limitations that are a feature of IoT. Reduce end-to-end latency, conserve energy, and balance network load are the three basic objectives of lightweight routing protocol. In this paper, we give a quick review of the IPv6 Routing Protocol for Low-Power and Lossy Networks-based routing protocols of VANET already in use and discuss their advantages and disadvantages. More specifically, we examine a few chosen VANET routing protocols and contrast their performance based on metrics like packet delivery ratio, Throughput, End to end delay, Routing- Cost, etc. © 2023 IEEE. |
Youssef, R.; Hamida, M. A.; Mohamed, N.; Lassaad, S.; Djamel, T.; Yasmine, A. Single-Stage Standalone Photovoltaic Water Pumping System Using Predictive Torque Control (PTC) of Induction Machine Article de journal Dans: Electric Power Components and Systems, 2023, ISSN: 15325008, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Cost effectiveness; Induction machine; Maximum power point trackers; Pumping plants; Pumps; Solar energy; Torque; Water supply, Induction machines; Maximum Power Point Tracking; O algorithm; P&O algorithm; Photovoltaics; Predictive torque controls; PV system; Single stage; Single-stage PV system; Water pump, Induction motors @article{Youssef2023, Solar energy is widely utilized for water pumping systems, particularly in remote areas. However, such systems have different configurations and strategies, each with its own advantages and drawbacks. To design a suitable system, this paper proposes a method that utilizes a single-stage conversion system with hydraulic storage. In this method, the predictive torque controller (PTC) adjusts the inverter switching while the electrical storage in batteries is replaced by the potential energy of water in tanks. The PTC works side-by-side with a maximum power point tracking (MPPT) technique to supply the optimal power to the water-pumping Induction Motor (IM). This maximum power tracking is maintained during the day hours to provide and store water, whereas the water supply is guaranteed due to the gravity at night. The effectiveness of the proposed system is evaluated through MATLAB/Simulink-based results, demonstrating that the single-stage configuration outperforms the double-stage configuration in terms of power optimization, torque ripples, and power loss reduction. Furthermore, the suggested system offers the advantage of cost-effective installation due to its simple structure. © 2023 Taylor & Francis Group, LLC. |
Saafi, Omar; Dabbaghi, Boudour; Hamidi, Faical; Aoun, Mohamed 2023. Résumé | Liens | BibTeX | Étiquettes: Autonomous switching sequence, Hybrid switched systems, Hybrid switching systems, Hybrid systems, Identification problem, Numerical methods, Optimization techniques, Particle swarm, Particle swarm optimization, Particle swarm optimization (PSO), Swarm optimization, Switching instants, Switching sequence @conference{Saafi2023b, In this paper we propose a new optimization technique based on an evolutionary method known as particle swarm optimization (PSO) for solving and specifying the switching instants of hybrid systems. The main objective is to minimize a performance measure that depends on these switching instants within a finite time interval. Our approach assumes that there is a predefined sequence of system modes and, at each switching instant, it is possible for a state-space variable to jump from one mode to another, resulting in an additional associated cost. Our approach is justified by numerical examples and compared with the results obtained by gradient-based methods. The results obtained by PSO are very promising, without requiring any a priori assumptions about the regularity of the objective function to be minimized. © 2023 IEEE. |
2022 |
Yahia, Mohamed; Ali, Tarig; Mortula, Maruf; Abdelfattah, Riadh On MMSE Speckle Filtering of Polsar Images Proceedings Article Dans: IGARSS 2022 – 2022 IEEE International Geoscience and Remote Sensing Symposium, p. 373-376, 2022, ISSN: 2153-7003. Résumé | Liens | BibTeX | Étiquettes: Filtering;Geoscience and remote sensing;Mean square error methods;Speckle;Synthetic aperture radar;Standards;Speckle;MMSE filter;PolSAR;span @inproceedings{9883272, The minimum mean square error (MMSE) based filters constitute an important branch of speckle reduction filtering techniques of synthetic aperture radar (SAR) and Polarimetric SAR (PolSAR) images. In this paper, the performance of MMSE based in terms of speckle reduction and spatial detail preservation is revised. To preserve the spatial details, the weight coefficient $b$ should be equal to 1. However, the authors demonstrated in this paper that this parameter do not fulfill this condition. As a consequence, the MMSE-based filters have some limitations in spatial detail preservation. In PolSAR filtering, the weight coefficient $b$ is estimated from the span image. However, it has been demonstrated that the standard deviation of the span (i. e. $sigma_v(span)$) is a pixel dependent. The use of a fixed $sigma_v(span)$ for the entire image as applied in the majority of the state of the art MMSE filters is not optimal. |
Yahia, Mohamed; Ali, Tarig; Mortula, Maruf; Abdelfattah, Riadh Effects of Spatial Filtering on PolSAR Parameter Estimation Proceedings Article Dans: 2022 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), p. 1-5, 2022, ISSN: 2687-878X. Résumé | Liens | BibTeX | Étiquettes: Parameter estimation;Correlation;Filtering;Image processing;Estimation;Speckle;Apertures;Speckle;PolSAR;multilooking;spatial averaging @inproceedings{9805982, Speckle filtering is essential for accurate parameter estimation from polarimetric synthetic aperture (PolSAR) data. To reduce speckle, sufficiently large independent samples (i. e. N looks) are generally averaged. However, in real scene, these N-looks are not provided. To surmount this limitation, by exploiting the ergodicity of the SAR data, the multilooking is substituted by the spatial averaging of N homogenous neighboring pixels. In this letter, it has been demonstrated that the multilooking and spatial averaging are quite different. First, the spatial averaging introduced a correlation between the pixels whereas in the multilooking they remain independent. Secondly, in real scene, the spatial averaging estimation of the polarimetric parameters (i.e. intensity mean and variance, equivalent number of looks (ENL), entropy and alpha angle) is nosier and more biased than the multilooked ones. These results should be taken into account when dealing with PolSAR parameter estimation of real data from multilooked PolSAR data models. |
Abdelkrim, Tayssir; Tellili, Adel; Abdelkrim, Nouceyba Comparison between the additive tolerant control and PID control for nonlinear delayed system Proceedings Article Dans: 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), p. 385-392, 2022, ISSN: 2474-0446. Résumé | Liens | BibTeX | Étiquettes: State feedback;Additives;Regulators;PI control;Measurement uncertainty;Hydraulic systems;Fault tolerant control;Non-Linear;time delay;fault tolerant control;additive control;stability @inproceedings{9955881, This brief studies the problem of state and fault estimation for Non-Linear (NL) systems with time delay subject to sensor fault. Additive fault tolerant control (FTC) is proposed to achieve the stability of system. The original system is transformed to linear one. The principle of fault accommodation is based on adding a new order to this nominal order. When a sensor fault affects the system, the tracking error between the reference input and the measurement deviates from zero. The nominal command then changes in order to cancel the static error and the real output therefore become different from its reference value. In the presence of a sensor defect, the objective of the accommodation is to prevent the command to evolve. This task can be accomplished by analyzing and canceling the effect of the sensor fault on the $mathbfu$ command. After determining the amplitude of the fault, we move on to its compensation step, this step is done by adding the additive control law to the determined nominal control law. The generation of nominal control law consist to determinate the state feedback gain by using the pole placement technique. |
Hassen, Walid Ben; Tellili, Adel; Abdelkrim, Nouceyba; Wardi, Mohamed Iazhar Diagnosis of Nonlinear Delay Systems Proceedings Article Dans: 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), p. 823-828, 2022, ISSN: 2474-0446. Résumé | Liens | BibTeX | Étiquettes: Fault diagnosis;Actuators;Adaptation models;Sufficient conditions;Delay systems;Simulation;Fault detection;Diagnostic;nonlinear systems;delayed systems;adaptive observer;Luenberger observer;dynamic parity space @inproceedings{9955721, The general theme of this article concerns the diagnosis of nonlinear delay systems. Parity space and observers approaches are used to generate residuals. To accomplish fault isolation, we use a bank of observers for all possible faulty models. The paper considers constant actuator faults, that is, the outputs of some actuators are stuck at fixed undesirable constant values. The fault isolation strategy is based on combining the conventional observer design techniques with adaptation techniques. Based on the designed observers, a bank of residuals are defined correspondingly. The actuator faults can be isolated if only one residual goes to zero while the others do not. The faulty model with residual approaching zero identifies the faulty actuators. For linear and nonlinear systems with all states available, new sufficient conditions for fault isolation are derived, which require only that the distribution matrices of the actuators are of full column rank. |
Jerbi, Houssem; Dabbagui, Boudour; Hamidi, Faical; Aoun, Mohamad; Bouazzi, Yassine; Aoun, Sondess Ben Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Asymptotically stable equilibrium, Basins of attraction, Carleman linearization, Domain of attraction, Iterative methods, Linearization, Lyapunov functions, Lyapunov’s functions, Lypaunov functions, MATLAB, Non-linear modelling, Nonlinear systems, Numerical methods, Numerical techniques, Quadratic lyapunov function, Stability analyze, System stability @conference{Jerbi2022, Stability analysis of controlled nonlinear systems is a problem of fundamental importance in system engineering. This paper elaborates an explicit numerical technique to maximize a quadratic Lyapunov function for the class of polynomial nonlinear models. Using the computed Lyapunov function an enlarged subsets of the basin of attraction of an asymptotically stable equilibrium can be computed in an iterative analytical way. We mainly use the Carleman linearization technique that converts a nonlinear autonomous system of finite dimension into an equivalent linear infinite dimension one. We implement the sampling technique as a numerical tool allowing the maximization of estimated regions of attraction. An example is given to demonstrate the efficiency of the proposed approach. The numerical study analysis of the designed scheme is led using the Matlab software environment. © 2022 IEEE. |
Yakoub, Z.; Amairi, M.; Chetoui, M.; Aoun, M. Bias Recursive Least Squares Method for Fractional Order System Identification Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Additive noise, Algebra; Least squares approximations, Bias compensation; Fractional order; Fractional order differentiation; Fractional-order systems; Identification; Least Square; Model problems; Modelling and identifications; Recursive least-squares method; System-identification @conference{Yakoub20221003, This paper mainly studies the modeling and identification problems for fractional order systems. A novel modeling scheme based on an online identification technique is investigated. Firstly, the recursive least squares algorithm is applied to identify the fractional order system. However, if the measurement of the output signal is affected by an additive noise this algorithm is unable to give consistent estimates. Thus, this contribution implements a technique based on the bias compensation principle. The main idea is to eliminate the introduced bias by adding a correction term in the recursive least squares estimates. The results of the simulated example indicate that the proposed estimator provides good accuracy. © 2022 IEEE. |
Dadi, Leila; Ethabet, Haifa; Aoun, Mohamed Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Actuator fault, Actuators, Bounded disturbances, Cooperativity, Discrete time, Fault detection, Faults detection, Interval observers, Linear matrix inequalities, Linear systems, Set-membership, Stability condition, Switched linear system, Switched system @conference{Dadi2022190, This work deals with Fault Detection (FD) for a class of discrete-time switched linear systems with actuator faults subject to bounded disturbances. First, based on cooperativity and stability conditions and under the assumption that disturbances and measurement noise are unknown but bounded, upper and lower bounds of the state are calculated using an interval observer. The design conditions of the observer are expressed in terms of Linear Matrix Inequalities (LMIs). Second, a fault detection decision is developed to indicate the presence of faults using interval analysis. Simulation results are provided to illustrate the performance of the proposed fault detection approach. © 2022 IEEE. |
Lamouchi, Rihab; Amairi, Messaoud; Raissi, Tarek; Aoun, Mohamed Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems Conférence 2022, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: @conference{Lamouchi2022773, In this paper, zonotopic fault detection methodology is proposed for a class of discrete-Time Linear Parameter Varying (LPV) systems with sensor faults. The disturbances and measurement noise are assumed to be unknown but bounded by zonotope. First, a fault detection observer is designed based on L? performance to attenuate the effects of the uncertainties and to improve the accuracy of the proposed residual framers. Then, the fault sensitivity is taken into account by measuring H-performance and zonotopic residual evaluation is presented. Finally, the effectiveness of the proposed method is demonstrated by a numerical example. © 2022 IEEE. |
Mizouri, H.; Lamouchi, R.; Amairi, M. Functional Interval-Observer-Based Fault Detection for Continuous-time Multivariable Linear Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 3). Résumé | Liens | BibTeX | Étiquettes: Condition; Continous time; Faults detection; Functional interval; Functional interval observer; Interval observers; Multi-variables system; Multivariable linear systems; Observer-based; Observers designs, Continuous time systems; Linear systems; Multivariable systems; Numerical methods; Signal analysis, Fault detection @conference{Mizouri2022177, This paper deals with the problem of the functional interval observer design for continuous-time multivariable linear system applied to fault detection purpose. First, a set of existance conditions is deduced as well as a simple process to built the Luenberger-like interval observer. Then, by utilizing the interval estimation of residual signals a FD procedure is developed. Finally, the validity and the effectiveness of the suggested method is verified by a numerical example. © 2022 IEEE. |
Dadi, L.; Dinh, T. N.; Raïssi, T.; Ethabet, H.; Aoun, M. New Finite-Time Observers design for a Discrete-Time Switched Linear System Conférence vol. 55, no. 40, Elsevier B.V., 2022, ISSN: 24058963, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Additive disturbance; Approximate estimation; Discrete time; Exact estimation; Finite-time observers; Fixed time; Initial state; Measurement Noise; Observers designs; Switched linear system, Linear systems @conference{Dadi202273, In this work, we consider a discrete-time switched linear system. A novel approach is introduced to estimate its state in a finite fixed time which can be arbitrarily chosen and is independent of the initial state. For cases where the additive disturbance and measurement noise are known, we provide an exact estimation. Otherwise, a finite-time interval observer is designed. The crucial idea is based on using past values of the input and output of the studied system and a minimal dwell time condition. Simulation results are provided to illustrate the effectiveness of the proposed techniques in different scenarios of finite time choices. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Saidi, B.; Yacoub, Z.; Amairi, M.; Aoun, M. Constant Phase Based Design of Robust Fractional PI Controller for Uncertain First Order Plus Dead Time Systems Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 159-179, 2022, ISSN: 21984182, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: @article{Saidi2022159, A new design method of a robust fractional order PI controller for uncertain First Order Plus Dead Time systems is proposed in this paper. The proposed design method uses a numerical optimization algorithm to determine the unknown controller parameters. The main objective of the proposed design method is improving the robustness in degree of stability to gain variations and the stability robustness to the other parameters variations that affect the phase by imposing a constant phase margin to the corrected open loop system in a pre-specified frequency band. Several simulation examples are presented to design the robust fractional PI controller and test the robustness for different forms of uncertainty. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
Lamouchi, R.; Raissi, T.; Amairi, M.; Aoun, M. On interval observer design for active Fault Tolerant Control of Linear Parameter-Varying systems Article de journal Dans: Systems and Control Letters, vol. 164, 2022, ISSN: 01676911, (cited By 12). Résumé | Liens | BibTeX | Étiquettes: Active fault tolerant control; Actuator fault; Actuator fault estimation; Discrete time; Discrete-time linear parameter-varying system; Fault estimation; Interval observers; Linear parameter varying systems; L∞ norm; ∞norm, Actuators; Discrete time control systems; Fault tolerance; Faulting; State feedback; Uncertainty analysis, Linear systems @article{Lamouchi2022, This paper proposes an active Fault Tolerant Control (FTC) scheme for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation interval observer is designed to estimate the system state and the actuator fault. A novel approach is developed using the L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the proposed observer. Then, based on the fault estimation information, the FTC strategy is designed using a linear state feedback control law and H∞ technique to compensate actuator faults and maintain system performance and stability, even under faulty conditions. Finally, the effectiveness of the proposed method is demonstrated by its application to a vehicle lateral dynamic nonlinear model. © 2022 Elsevier B.V. |
Akremi, R.; Lamouchi, R.; Amairi, M. Functional Interval Observers Design for Multivariable Linear Discrete-time Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Digital control systems; Discrete time control systems; Numerical methods, Discrete – time systems; Discrete time; Functional interval; Functional interval observer; Interval observers; Linear discrete-time systems; Multi variables; Multi-variables system; Observers designs; Unknown but bounded, Multivariable systems @conference{Akremi2022976, This paper deals with functional interval observers design for discrete-time multivariable systems. Under the as-sumption that disturbances are unknown but bounded, functional interval observers are designed to estimate the system and the functional state. The design conditions of the existence of the proposed interval observer are explicitly mentioned and an effective algorithm for computing the matrices of unknown observers is provided. Finally, numerical example and simulation results are given to illustrate the effectiveness of the proposed method. © 2022 IEEE. |
Lamouchi, Rihab; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed On interval observer design for active Fault Tolerant Control of Linear Parameter-Varying systems Article de journal Dans: Systems and Control Letters, vol. 164, 2022, (Cited by: 5). Résumé | Liens | BibTeX | Étiquettes: @article{Lamouchi2022c, This paper proposes an active Fault Tolerant Control (FTC) scheme for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation interval observer is designed to estimate the system state and the actuator fault. A novel approach is developed using the L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the proposed observer. Then, based on the fault estimation information, the FTC strategy is designed using a linear state feedback control law and H∞ technique to compensate actuator faults and maintain system performance and stability, even under faulty conditions. Finally, the effectiveness of the proposed method is demonstrated by its application to a vehicle lateral dynamic nonlinear model. © 2022 Elsevier B.V. |
Najjar, A.; Dinh, T. N.; Amairi, M.; Raissi, T. Interval observer-based supervision of nonlinear networked control systems Article de journal Dans: Turkish Journal of Electrical Engineering and Computer Sciences, vol. 30, no. 4, p. 1219-1234, 2022, ISSN: 13000632, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Input-to-state stability; Interval estimation; Interval observers; Nonlinear networked control system; Observer-based; Predictor; Remote supervision; Systems’ class; Time-varying delay; Uncertain large time-varying delay, Networked control systems, Nonlinear analysis; Time delay; Time varying control systems; Time varying networks; Uncertainty analysis @article{Najjar20221219, Networked control system (NCS) is a multidisciplinary area that attracts increasing attention today. In this paper, we deal with remote supervision of a nonlinear networked control systems class subject to network imperfections. Different from many existing researches that consider only the problem of small and/or constant communication delays, we focus on large and time-varying network delays problem in both measurement and control channels. The proposed method is a set-membership estimation-based predictor approach computing a guaranteed set of admissible state values when the uncertainties (i.e. measurement noises and system disturbances) are considered unknown but bounded with a priori known bounds. The state prediction strategy is used to compensate the effect of transmission delays. Finally, the theoretical results are validated through a numerical example. © 2022 Turkiye Klinikleri. All rights reserved. |
Victor, S.; Mayoufi, A.; Malti, R.; Chetoui, M.; Aoun, M. System identification of MISO fractional systems: Parameter and differentiation order estimation Article de journal Dans: Automatica, vol. 141, 2022, ISSN: 00051098, (cited By 12). Résumé | Liens | BibTeX | Étiquettes: Continous time; Fractional model; Fractional systems; Instrumental variables; Multiple input single output systems; Multiple inputs single outputs; Optimization algorithms; Order estimation; Order optimizations; System-identification, Continuous time systems, Intelligent systems; Monte Carlo methods; Optimization; Parameter estimation; Religious buildings @article{Victor2022, This paper deals with continuous-time system identification of multiple-input single-output (MISO) fractional differentiation models. When differentiation orders are assumed to be known, coefficients are estimated using the simplified refined instrumental variable method for continuous-time fractional models extended to the MISO case. For unknown differentiation orders, a two-stage optimization algorithm is proposed with the developed instrumental variable for coefficient estimation and a gradient-based algorithm for differentiation order estimation. A new definition of structured-commensurability (or S-commensurability) is introduced to better cope with differentiation order estimation. Three variants of the algorithm are then proposed: (i) first, all differentiation orders are set as integer multiples of a global S-commensurate order, (ii) then, the differentiation orders are set as integer multiples of a local S-commensurate orders (one S-commensurate order for each subsystem), (iii) finally, all differentiation orders are estimated by releasing the S-commensurability constraint. The first variant has the smallest number of parameters and is used as a good initial hit for the second variant which in turn is used as a good initial hit for the third variant. Such a progressive increase of the number of parameters allows better performance of the optimization algorithm evaluated by Monte Carlo simulation analysis. © 2022 Elsevier Ltd |
Akremi, Rihab; Lamouchi, Rihab; Amairi, Messaoud L∞/H∞Functional Interval Observers Design for Multivariable Systems Conférence 2022, (Cited by: 0). @conference{Akremi2022265, |
Yakoub, Z.; Naifar, O.; Amairi, M.; Chetoui, M.; Aoun, M.; Makhlouf, A. B. A Bias-Corrected Method for Fractional Linear Parameter Varying Systems Article de journal Dans: Mathematical Problems in Engineering, vol. 2022, 2022, ISSN: 1024123X, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Bias correction; Correction techniques; Fractional model; Fractional order; Identification algorithms; LeastSquare algorithm; Linear parameter varying systems; Nelder-Mead simplex methods; Performance; Reliable results, Linear programming, Linear systems @article{Yakoub2022, This paper proposes an identification algorithm for the fractional Linear Parameter Varying (LPV) system considering noisy scheduling and output measurements. A bias correction technique is provided in order to compensate for the bias caused by the least squares algorithm. This approach was created to estimate either coefficients or fractional-order differentiation, and it has been proven to produce unbiased and reliable results. The suggested method’s performance is assessed by the identification of two fractional models and was compared with Nelder-Mead Simplex method. © 2022 Zaineb Yakoub et al. |
Lamouchi, Rihab; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed Interval observer-based methodology for passive fault tolerant control of linear parameter-varying systems Article de journal Dans: Transactions of the Institute of Measurement and Control, vol. 44, no. 5, p. 986 – 999, 2022, (Cited by: 4). Résumé | Liens | BibTeX | Étiquettes: @article{Lamouchi2022986, The paper deals with passive fault tolerant control for linear parameter varying systems subject to component faults. Under the assumption that the faults magnitudes are considered unknown but bounded, a novel methodology is proposed using interval observer with an (Formula presented.) formalism to attenuate the effects of the uncertainties and to improve the accuracy of the proposed observer. The necessary and sufficient conditions of the control system stability are developed in terms of matrix inequalities constraints using Lyapunov stability theory. Based on a linear state feedback, a fault tolerant control strategy is designed to handle component faults effect as well as external disturbances and preserve the system closed-loop stability for both fault-free and component faulty cases. Two simulation examples are presented to demonstrate the effectiveness of the proposed method. © The Author(s) 2021. |
Yakoub, Z.; Aoun, M.; Amairi, M.; Chetoui, M. Identification of Continuous-Time Fractional Models from Noisy Input and Output Signals Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 181-216, 2022, ISSN: 21984182, (cited By 4). Résumé | Liens | BibTeX | Étiquettes: @article{Yakoub2022181, It is well known that, in some practical system identification situations, measuring both input and output signals can commonly be affected by additive noises. In this paper, we consider the problem of identifying continuous-time fractional systems from noisy input and output measurements. The bias correction scheme, which aims at eliminating the bias introduced by the fractional order ordinary least squares method, is presented, based on the estimation of variances of the input and output measured noises. The compensation method for the input and output noises is also studied by introducing an augmented high-order fractional-order system in the identification algorithm. The presented algorithm is established to perform unbiased coefficients and fractional orders estimation. The promising performances of the proposed method are assessed via the identification of a fractional model and a fractional real electronic system. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
Walid, Ounis; Slaheddine, Najar; Mohamed, Aoun REAL TIME TUNEABLE ANALOGUE PID CONTROLLER REALIZATION Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Analog realization, Continuous time systems, Controller realization, Controllers, Discretization issue, Discretizations, Electric control equipment, PID controllers, Proportional control systems, Real- time, Three term control systems, Tunable analog PID, Tunable controller, Tunables, Voltage dividers @conference{Walid2022798, This paper proposes a real time tunable analogue PID controller realisation witch can be used as a conventional PID, an adaptative PID or an intelligent PID ‘iPID’. The integral and derivative of the PID input signal are continuous time signals and never sampled. This avoid discretization issues such as aliasing phenomena and the critical sampling period choice. The operative PID circuit part is totally analogue. Few digital potentiometers and digital switches are used. This allows to tune the parameters values of the controller and select PI, PD, PID configuration. The analogue circuit part is designed with a new original circuit architecture. A prototype of the circuit is implemented. Experimentation results show good similarity to the theoretical simulations. © 2022 IEEE. |
Yahia, Mohamed; Ali, Tarig; Mortula, Md Maruf Span Statistics and Their Impacts on PolSAR Applications Article de journal Dans: IEEE Geoscience and Remote Sensing Letters, vol. 19, p. 1-5, 2022, ISSN: 1558-0571. Résumé | Liens | BibTeX | Étiquettes: Scattering;Estimation;Entropy;Covariance matrices;Speckle;Eigenvalues and eigenfunctions;Synthetic aperture radar;Equivalent number of look (ENL);synthetic aperture radar polarimetry (PolSAR);span;speckle @article{9290117, The span is widely employed in synthetic aperture radar (SAR) polarimetry (PolSAR) applications. The span is a summation of the three polarimetric intensity channels, its probability density function (pdf) is commonly assumed in the literature as that of the intensity polarimetric channel. In this letter, the statistics of the span are investigated. It has been demonstrated that the span is modeled by $L$ -looks intensity pdf where $L$ is the equivalent number of looks (ENLs) of the span transformation, i.e., ENLspan. To estimate ENLspan, a theoretical model has been proposed. The results showed that ENLspan ranges in [1,3] depending on the media’s scattering property. Results demonstrated also that the use of the eigenvalues produced better estimation of ENLspan than the use of diagonal elements of the coherence or the covariance matrix. The proposed model produced also a more accurate estimation of ENLspan than the one obtained by the direct calculation. Finally, it has been demonstrated that the use of the introduced span statistics gave a correct estimation of the performance of the classification and the filtering PolSAR techniques whereas classical span statistics overestimated them. |
Mhamdi, H.; Othman, S. B. E. N.; Zouinkhi, A.; Sakli, H. Smart electronic medical record based on blockchain technology to combat Covid-19 pandemic Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Access control; Blockchain; Distributed ledger; Health care; Hospital data processing; Internet of things; Medical computing; Viruses, Block-chain; Covid-19; Electronic medical record; Follow up; Healthcare; Information concerning; IoT; Medical data; Medical record; Smart electronics, Smart contract @conference{Mhamdi2022698, The medical record is a crucial element in the follow-up of a patient. It includes the opinions of healthcare specialists, analyses, prescriptions, and all information concerning the patient. In fact, several actors such as the patient, the doctor, the pharmacist participate in the process of sharing and managing this file. But after the Covid-19 virus pandemic, the use and exchange of paper became dangerous. This need has pushed researchers to find solutions to minimize contact and save medical data in a secure and accessible way. For this purpose, we propose to investigate blockchain distributed ledger technology to manage electronic medical record. Blockchain technology provides just such a solution in the form of a distributed and secure registry that allows patients not only to have visibility over their data, but also to control access to it. In this article, we present a smart electronic medical record based on smart contract. We discuss relevant requirements to guarantee the security of patient data and then propose the system communication process. © 2022 IEEE. |
Benjemaa, R.; Elhsoumi, A.; Abdelkrim, M. N. Fault diagnosis for neutral time delay LPV Descriptor systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728189390, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Adaptive polytopic observer; Descriptor systems; Fault estimation; Faults detection; Faults diagnosis; Linear parameter varying; Linear parameter varying neutral time delay system; Neutral time-delay system; Polytopic observers; Time-delays, Delay control systems; Failure analysis; Time delay; Timing circuits, Fault detection @conference{Benjemaa2022, This paper presents the problem of fault diagnosis method based on a descriptor approach for Linear Parameter Varying (LPV) systems with neutral time delay. This proposed method is based on an Adaptive Polytopic Observer (APO). This observer is synthesized to achieve the fault detection and estimation. Simulation results are presented to prove the effectiveness of the proposed observer. © 2022 IEEE. |
Lamouchi, Rihab; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity Conférence 2022, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: @conference{Lamouchi2022178, A fault detection (FD) method for a class of discrete-time Linear Parameter Varying (LPV) systems with sensor faults and measurement noise is proposed in this paper. Then, an interval FD observer is studied using Linfty performance to minimise the uncertainties effects and to improve the estimation accuracy. Furthermore, mathcalH- performance is considered in order to calculate the sensitivity of the residual to sensor faults and a FD decision is set to indicate their presence. The validity of the proposed methodology is demonstrated using a numerical example. © 2022 IEEE. |
Aljawarneh, M.; Hamdaoui, R.; Zouinkhi, A.; Boussaid, B.; Abdelkrim, M. N. Energy efficiency approaches in Wireless Sensor Networks Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Data handling; Digital storage; Electric batteries; Energy efficiency; Energy utilization; Machine learning, Duty-cycle; Energy consumption problems; Energy optimization; Energy-consumption; Limited energies; Machine-learning; Power; Routings; Sensing nodes, Wireless sensor networks @conference{Aljawarneh2022736, Wireless Sensor Networks (WSNs) send their data collaboratively across the network to the main base station responsible for analyzing and processing data. In WSNs, a battery with limited energy is used to drive the systems. Thus, energy consumption in WSNs is a serious problem that hinders their applications. The sensor will fail or be scrapped after consumption of the energy. This work gives an overview about the energy consumption problem in Wireless Sensor Networks (WSNs) and provides a survey on approaches used to optimize the sensors consumption on power. Different strategies used to rise the lifetime of the battery-based sensing nodes by energy minimization are analyzed and commented in this work. © 2022 IEEE. |
Bahhar, C.; Baccouche, C.; Sakli, H. Millimeter-Wave Rectenna and Rectifying Circuits for Wireless Power Transfer in 60 GHz Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Electric rectifiers; Energy harvesting; Energy transfer; Inductive power transmission; Microwave antennas; Millimeter waves; Rectennas; Rectifying circuits; Slot antennas; Timing circuits, Energy; Input power; Millimeter band; Parametric study; Performance; Rectenna; Rectenna systems; Rectifier; RF energy harvesting; Wireless energy transmission, Microstrip antennas @conference{Bahhar20221346, This work offers a 60 GHz antenna-based rectenna in millimeter band. In this paper, we describes the concept of wireless energy transmission that allows the transfer of RF energy from one point to another through open space. A parametric study is carried out to monitor the influence of the input power and the number of floors on the performance of rectenna system. It has been shown that the efficiency can reach 54.6% for a load resistance of 100 Ω and an input power of 15dBm. © 2022 IEEE. |
Abdelbaki, S.; Othman, S. B.; Almalki, F.; Sakli, H. Light deep CNN approach for multi-label pathology classification using frontal chest x-ray Ouvrage wiley, 2022, ISBN: 9781119861850; 9781119861829, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: @book{Abdelbaki2022445, Medical imaging methods identify and record anomalies inside the human body; these techniques are critical for assessing, diagnosing, and treating chest infections and diseases; the thoracic radiography known by chest X-ray is a non-expensive, yet very effective, medical imaging technique. However, a scarcity of competent radiologists might significantly limit the technique’s usefulness. To increase performance and diagnosis accuracy, new technologies such as deep learning must be used to detect aberrant chest X-ray. Recently, machine-learning algorithms based on convolutional layers have made a significant progress. The success of convolutional neural network (CNN) in image classification has led researchers to investigate its usefulness as a diagnosis method for identifying and characterizing pulmonary diseases. We propose to use the modified MobileNet V2 model to classify and predict lung lesions in frontal chest X-rays. In terms of accuracy and area under ROC curve value metrics, the presented study showed that our model outperforms the state-of-the-art CNN techniques. © 2023 The Institute of Electrical and Electronics Engineers, Inc. |
Essid, C.; Abdelhamid, C.; Almalki, F. A.; Ali, O.; Sakli, H. New MIMO Antenna with Filtration for the Future Multiuser Systems in Satellite Communications Article de journal Dans: Wireless Communications and Mobile Computing, vol. 2022, 2022, ISSN: 15308669, (cited By 9). Résumé | Liens | BibTeX | Étiquettes: Metamaterials; Microwave antennas; MIMO systems; Optical resonators; Ring gages; Satellite communication systems, Multiple input multiple output antennas; Multiple-Input Multiple- Output systems; Multiuser system; Performance; Satellite communications; Splitring resonators; Square split-ring resonators; Ultrawide band; Wideband antenna; Wideband characteristics, Ultra-wideband (UWB) @article{Essid2022, This paper emphasizes the function of the split ring resonator (SRR) within the design of ultra-wideband (UWB) antennas. We presented an antenna that belongs to the category of UWB antenna with two rejected bands based on square SRR. At first, we presented a UWB antenna. This antenna is designed to operate in the band 2.3-11.5 GHz. Then, with the integration of two SRR cells, we were capable of filtering the bands 3.7-3.9 GHz and 8.7-8.9 GHz without losing the UWB characteristics outside these rejected bands. Next, to ensure the proper performance of the MIMO system, we studied the use of metamaterials in the design of MIMO (Multiple-Input Multiple-Output) antennas for miniaturization and antenna performance. © 2022 Chaker Essid et al. |
Rhouma, T.; Keller, J. -Y.; Abdelkrim, M. N. A Kalman Filter with Intermittent Observations and Reconstruction of Data Losses Article de journal Dans: International Journal of Applied Mathematics and Computer Science, vol. 32, no. 2, p. 241-253, 2022, ISSN: 1641876X, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Binary sequences; Covariance matrix; Estimation; Forecasting; Kalman filters; Random errors; Stochastic systems, Data loss; Discrete time linear systems; Error covariance matrix; Filter approach; Intermittent observation; Intermittent unknown input; State prediction errors; Stochastics; Unknown inputs; Unknown-input estimations, Linear systems @article{Rhouma2022241, This paper deals with the problem of joint state and unknown input estimation for stochastic discrete-time linear systems subject to intermittent unknown inputs on measurements. A Kalman filter approach is proposed for state prediction and intermittent unknown input reconstruction. The filter design is based on the minimization of the trace of the state estimation error covariance matrix under the constraint that the state prediction error is decoupled from active unknown inputs corrupting measurements at the current time. When the system is not strongly detectable, a sufficient stochastic stability condition on the mathematical expectation of the random state prediction errors covariance matrix is established in the case where the arrival binary sequences of unknown inputs follow independent random Bernoulli processes. When the intermittent unknown inputs on measurements represent intermittent observations, an illustrative example shows that the proposed filter corresponds to a Kalman filter with intermittent observations having the ability to generate a minimum variance unbiased prediction of measurement losses. © 2022 Taouba Rhouma et al., published by Sciendo. |
Mhamdi, H.; Othman, S. Ben; Zouinkhi, A.; Sakli, H. Blockchain Technology in Healthcare: Use Cases Study Ouvrage Springer Nature, 2022, ISBN: 9789811681509; 9789811681493, (cited By 4). Résumé | Liens | BibTeX | Étiquettes: @book{Mhamdi2022261, Blockchain technology is now regarded as one of the most interesting and possibly innovative technologies. It enables information to be stored and exchanged securely and transparently without the need for a centralized authority to regulate it. A few of the primary benefits of this technology is the atomicity of the stored data. Given its features, this technology has the potential to give answers to challenges encountered in a very sensitive sector, notably healthcare. The medical field is dealing with several issues that some are attempting to address today. The most important are the administration of medical records and the claims process, the acceleration of clinical and biomedical research, and the advancement of the biomedical and health data registry. The major challenge is the processing and analysis of patient records due to the large amount of data collected. The security of this data is another challenge to consider. Due to the high connectivity, these systems are prone to malicious attacks. In addition, it is difficult to ensure confidentiality due to the exchange of sensitive data. This chapter discusses the use of blockchain technology in healthcare sector. The purpose of this survey was to provide an overview of the features and concepts related to security requirements of blockchain in a healthcare system. It shows that this technology has a major role in terms of security of patient’s medical data. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. |
Souid, A.; Sakli, H. Xception-ResNet Autoencoder for Pneumothorax Segmentation Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728184425, (cited By 9). Résumé | Liens | BibTeX | Étiquettes: Auto encoders; Chest x-rays; Convolutional neural network; Deep learning; Dice loss; Image segmentation model; Multiple domains; Pneumothorax; Transfer learning; U-net, Convolutional neural networks, Deep neural networks; Diagnosis; Learning systems; Medical imaging; Semantic Segmentation; Semantics; Transfer learning @conference{Souid2022586, Computer vision has made a significant advance in the medical imaging. Pneumothorax is a severe ailment that can be fatal if the patient does not receive proper care. The main way for diagnosing Pneumothorax is by examining the Chest X-ray by a specialist. The urge of experienced radiologists to anticipate whether someone is suffering from pneumothorax or not by examining chest X-rays is indisputable. Such a facility is not available to everyone. Furthermore, in some circumstances, quick diagnosis is required. In this paper We present a deep learning based image segmentation model capable of predicting Pneumothorax cases by localizing it in chest x-ray exam to help the doctor in making this critical choice. Deep Learning has demonstrated its value in multiple domains, outperforming several state-of-the-arts methods. We seek to overcome this challenge by leveraging deep learning capabilities. We used U-Net architecture with Xception as the encoder and ResNet as a decoder. We obtained encouraging findings, and U-Net works exceptionally well in medical imaging. Our work is listed with in as semantic segmentation. With 77.8 (±0.15), our technique obtains a good outcome in terms of Intersection over Union. © 2022 IEEE. |
Azzouz, I.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, M. N. Energy-Aware Cluster Head selection protocol with Balanced Fuzzy C-mean Clustering in WSN Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Balanced fuzzy; Cluster-head selections; Clusterings; Energy aware; Energy aware clustering; Eu-clidean distance; Fuzzy C-Means clustering; Fuzzy-c means; Ratio-distance; Stable clusters, Clustering algorithms; Energy efficiency; Leaching; MATLAB; Power management (telecommunication); Routing protocols, Sensor nodes @conference{Azzouz20221534, The Energy saving in wireless sensor network has become one of the ascending issue. To manage the remaining energy in nodes and extend the life time of the network, clustering is one of the efficient solution. Structuring homogenous and stable clusters as well as choosing the optimal cluster head is the key of an energy efficient clustering. This paper deals with an Energy Aware Cluster head selection protocol based on balanced Fuzzy c-mean clustering approach. This approach proposes uniform and stable cluster formation using Balanced Fuzzy c-mean algorithm with modified centroid. As for Cluster Head selection, three parameters are considered such as Residual energy of the node, Distance from the Base Station and Distance-Ratio. Simulation results on Matlab of the proposed approach are compared to basic energy efficient approaches such as LEACH, C-LEACH and TSI-LEACH. © 2022 IEEE. |
Othman, S. B.; Almalki, F. A.; Chakraborty, C.; Sakli, H. Privacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies Article de journal Dans: Computers and Electrical Engineering, vol. 101, 2022, ISSN: 00457906, (cited By 59). Résumé | Liens | BibTeX | Étiquettes: Authentication; Energy resources; Energy utilization; Green computing; Health care; Privacy-preserving techniques; Security systems, Communication overheads; Computing technology; Data aggregation; Dual-prediction; Energy-consumption; Internet of things technologies; Medical sensors; Privacy preserving; Security; Security features, Internet of things @article{Othman2022, Despite the rapid development of the Internet of Things technologies where more and more medical sensors and gadgets are connected to the Internet, limited energy resources due to transmission, and security are still main challenges. Most cases, patients wear multiple medical devices that transmit sensed medical data wirelessly to servers, which might cause big traffic on the communication networks, which in turn cause high energy consumption. Therefore, using the data aggregation, we can considerably reduce the energy consumption by eliminating redundant data; yet collected data must be fully protected. Secure data collection and transfer to centralized servers in healthcare applications employing IoT is quite challenging to protect against several attacks for illegal data access. For this reason, massive security measures should be taken to ensure that patients’ data can only be accessed by legitimate users. This paper proposes EPPADA: Efficient Privacy‑Preserving Authentication and Data Aggregation scheme in conjunction with Homomorphic Encryption concepts to meet requirements of healthcare using IoT with green computing technologies. The main objective of this proposed scheme is to decrease the communication overhead and energy consumption while maintaining safe and secure aggregation of the healthcare data between medical sensors and cloud servers. The proposed system is experimentally developed using E-health sensor shield V2.0 platform. Based on security analysis that has the most extensive set of security features, our multi-objective approach enhances the End-to-End Delay, Computational Cost, Communication Overhead, besides maintaining security features. © 2022 |
Yamna, M. Ben; Dakhli, N.; Sakli, H. Rectifier Circuit at 3.5 GHz for 5G Applications Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: 5G mobile communication systems; Application programs; Conversion efficiency; Electric rectifiers; Rectifying circuits; Schottky barrier diodes, Advanced design system softwares; Conversion circuits; Different effects; External components; Input power; Rectifier; Rectifier circuit; RF-DC conversion; Schottky diodes, Timing circuits @conference{BenYamna2022305, This paper presents a 3.5 GHz rectifying circuit designed for 5G applications which it developed and optimized with Advanced Design System (ADS) software. In this work, we present the approved criteria for choosing the convenable schottky diode in a conversion circuit and the differents effects of the external components on RF-DC conversion efficiency. The developed rectifier has reached 63.5% of RF-DC conversion efficiency at 0 dBm of RF input power. © 2022 IEEE. |
Yamna, Mounira Ben; Dakhli, Nabil; Sakli, Hedi Comparison between a simple serial and a voltage doubler rectifiers circuits Conférence 2022, (Cited by: 0). @conference{BenYamna20221721, |
Publications
2023 |
Estimating and enlarging the domain of attraction for a nonlinear system with input saturation Conférence 2023. |
Estimating and enlarging the domain of attraction for polynomial systems using a deep learning tool Conférence 2023. |
Programmable analogue fractional controller realization Conférence 2023. |
Zonotope-based Fault Estimation for Uncertain Discrete-Time Switched Linear Systems Conférence vol. 56, no. 2, Elsevier B.V., 2023, ISSN: 24058963, (cited By 0). |
Overview of Identification Methods of Autoregressive Model in Presence of Additive Noise Article de journal Dans: Mathematics, vol. 11, no. 3, 2023, ISSN: 22277390, (cited By 1). |
High Efficiency Rectifier for 5G Applications Conférence IEEE Computer Society, 2023, ISSN: 21579822, (cited By 0). |
Improvement in Isolation Between MIMO Antennas Using MTM Stop-Band Cells in the mm-Wave Band Conférence IEEE Computer Society, 2023, ISSN: 21579822, (cited By 0). |
Design and Implementation in VHDL-AMS of a Novel Reconfigurable Mono-bit Sigma Delta Modulator Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
Trust Management Techniques in the Internet of Things Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
Diagnosis and FTC : descriptor approach Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
Control of an Uncertain Nonlinear System Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
A Review of RPL Based Routing Protocols in Vehicular Ad Hoc Networks (VANET) Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
Single-Stage Standalone Photovoltaic Water Pumping System Using Predictive Torque Control (PTC) of Induction Machine Article de journal Dans: Electric Power Components and Systems, 2023, ISSN: 15325008, (cited By 0). |
2023. |
2022 |
On MMSE Speckle Filtering of Polsar Images Proceedings Article Dans: IGARSS 2022 – 2022 IEEE International Geoscience and Remote Sensing Symposium, p. 373-376, 2022, ISSN: 2153-7003. |
Effects of Spatial Filtering on PolSAR Parameter Estimation Proceedings Article Dans: 2022 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), p. 1-5, 2022, ISSN: 2687-878X. |
Comparison between the additive tolerant control and PID control for nonlinear delayed system Proceedings Article Dans: 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), p. 385-392, 2022, ISSN: 2474-0446. |
Diagnosis of Nonlinear Delay Systems Proceedings Article Dans: 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), p. 823-828, 2022, ISSN: 2474-0446. |
Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). |
Bias Recursive Least Squares Method for Fractional Order System Identification Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). |
Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). |
Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems Conférence 2022, (Cited by: 1). |
Functional Interval-Observer-Based Fault Detection for Continuous-time Multivariable Linear Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 3). |
New Finite-Time Observers design for a Discrete-Time Switched Linear System Conférence vol. 55, no. 40, Elsevier B.V., 2022, ISSN: 24058963, (cited By 0). |
Constant Phase Based Design of Robust Fractional PI Controller for Uncertain First Order Plus Dead Time Systems Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 159-179, 2022, ISSN: 21984182, (cited By 0). |
On interval observer design for active Fault Tolerant Control of Linear Parameter-Varying systems Article de journal Dans: Systems and Control Letters, vol. 164, 2022, ISSN: 01676911, (cited By 12). |
Functional Interval Observers Design for Multivariable Linear Discrete-time Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 2). |
On interval observer design for active Fault Tolerant Control of Linear Parameter-Varying systems Article de journal Dans: Systems and Control Letters, vol. 164, 2022, (Cited by: 5). |
Interval observer-based supervision of nonlinear networked control systems Article de journal Dans: Turkish Journal of Electrical Engineering and Computer Sciences, vol. 30, no. 4, p. 1219-1234, 2022, ISSN: 13000632, (cited By 1). |
System identification of MISO fractional systems: Parameter and differentiation order estimation Article de journal Dans: Automatica, vol. 141, 2022, ISSN: 00051098, (cited By 12). |
L∞/H∞Functional Interval Observers Design for Multivariable Systems Conférence 2022, (Cited by: 0). |
A Bias-Corrected Method for Fractional Linear Parameter Varying Systems Article de journal Dans: Mathematical Problems in Engineering, vol. 2022, 2022, ISSN: 1024123X, (cited By 1). |
Interval observer-based methodology for passive fault tolerant control of linear parameter-varying systems Article de journal Dans: Transactions of the Institute of Measurement and Control, vol. 44, no. 5, p. 986 – 999, 2022, (Cited by: 4). |
Identification of Continuous-Time Fractional Models from Noisy Input and Output Signals Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 181-216, 2022, ISSN: 21984182, (cited By 4). |
REAL TIME TUNEABLE ANALOGUE PID CONTROLLER REALIZATION Conférence 2022, (Cited by: 0). |
Span Statistics and Their Impacts on PolSAR Applications Article de journal Dans: IEEE Geoscience and Remote Sensing Letters, vol. 19, p. 1-5, 2022, ISSN: 1558-0571. |
Smart electronic medical record based on blockchain technology to combat Covid-19 pandemic Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). |
Fault diagnosis for neutral time delay LPV Descriptor systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728189390, (cited By 2). |
Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity Conférence 2022, (Cited by: 1). |
Energy efficiency approaches in Wireless Sensor Networks Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 1). |
Millimeter-Wave Rectenna and Rectifying Circuits for Wireless Power Transfer in 60 GHz Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). |
Light deep CNN approach for multi-label pathology classification using frontal chest x-ray Ouvrage wiley, 2022, ISBN: 9781119861850; 9781119861829, (cited By 0). |
New MIMO Antenna with Filtration for the Future Multiuser Systems in Satellite Communications Article de journal Dans: Wireless Communications and Mobile Computing, vol. 2022, 2022, ISSN: 15308669, (cited By 9). |
A Kalman Filter with Intermittent Observations and Reconstruction of Data Losses Article de journal Dans: International Journal of Applied Mathematics and Computer Science, vol. 32, no. 2, p. 241-253, 2022, ISSN: 1641876X, (cited By 2). |
Blockchain Technology in Healthcare: Use Cases Study Ouvrage Springer Nature, 2022, ISBN: 9789811681509; 9789811681493, (cited By 4). |
Xception-ResNet Autoencoder for Pneumothorax Segmentation Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728184425, (cited By 9). |
Energy-Aware Cluster Head selection protocol with Balanced Fuzzy C-mean Clustering in WSN Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). |
Privacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies Article de journal Dans: Computers and Electrical Engineering, vol. 101, 2022, ISSN: 00457906, (cited By 59). |
Rectifier Circuit at 3.5 GHz for 5G Applications Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 0). |
Comparison between a simple serial and a voltage doubler rectifiers circuits Conférence 2022, (Cited by: 0). |