2023 |
Jlidi, Mokhtar; Hamidi, Faiçal; Barambones, Oscar; Abbassi, Rabeh; Jerbi, Houssem; Aoun, Mohamed; Karami-Mollaee, Ali An Artificial Neural Network for Solar Energy Prediction and Control Using Jaya-SMC Article de journal Dans: Electronics (Switzerland), vol. 12, no. 3, 2023, (Cited by: 2; All Open Access, Gold Open Access, Green Open Access). Résumé | Liens | BibTeX | Étiquettes: @article{Jlidi2023, In recent years, researchers have focused on improving the efficiency of photovoltaic systems, as they have an extremely low efficiency compared to fossil fuels. An obvious issue associated with photovoltaic systems (PVS) is the interruption of power generation caused by changes in solar radiation and temperature. As a means of improving the energy efficiency performance of such a system, it is necessary to predict the meteorological conditions that affect PV modules. As part of the proposed research, artificial neural networks (ANNs) will be used for the purpose of predicting the PV system’s current and voltage by predicting the PV system’s operating temperature and radiation, as well as using JAYA-SMC hybrid control in the search for the MPP and duty cycle single-ended primary-inductor converter (SEPIC) that supplies a DC motor. Data sets of size 60538 were used to predict temperature and solar radiation. The data set had been collected from the Department of Systems Engineering and Automation at the Vitoria School of Engineering of the University of the Basque Country. Analyses and numerical simulations showed that the technique was highly effective. In combination with JAYA-SMC hybrid control, the proposed method enabled an accurate estimation of maximum power and robustness with reasonable generality and accuracy (regression (R) = 0.971, mean squared error (MSE) = 0.003). Consequently, this study provides support for energy monitoring and control. © 2023 by the authors. |
Saada, Fadwa; Delouche, David; Chabir, Karim; Abdelkrim, Mohamed Naceur Comparative Analysis of DIDIM and IV Approaches using Double Least Squares Method Article de journal Dans: International Journal of Advanced Computer Science and Applications, vol. 14, no. 6, p. 788 – 796, 2023, (Cited by: 0; All Open Access, Gold Open Access). @article{Saada2023788, |
Chetoui, Manel; Aoun, Mohamed Fourth-order cumulants based-least squares methods for fractional Multiple-Input-Single-Output Errors-In-Variables system identification Article de journal Dans: Fractional Calculus and Applied Analysis, vol. 26, no. 4, p. 1868 – 1893, 2023, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: @article{Chetoui20231868, This paper presents new consistent methods for continuous-time Multiple-Input-Single-Output (MISO) Errors-In-Variables (EIV) systems by fractional models. The proposed idea is to use Higher-Order Statistics (HOS), such as fourth-order cumulants (foc), instead of noisy input and output measurements to obtain unbiased estimates. Firstly, all differentiation orders are assumed to be known a priori and linear coefficients are estimated. The developed estimator is based on minimizing the equation error and it is called fractional fourth-order based-least squares estimator (frac- foc- ls). Secondly, the global commensurability of the fractional MISO system is considered. The frac- foc- ls is combined with a non linear technique to estimate the global commensurate order along with linear coefficients. The developed algorithm is based on minimizing the output error and called fractional fourth-order cumulants based-least squares combined with global commensurate order optimization (frac- foc- gcools). The consistency of the developed estimators, in presence of high levels of noise corrupting both the input and output measurements, is assessed through a numerical example with the help of Monte Carlo simulations. © 2023, Diogenes Co.Ltd. |
Yahia, S.; Salem, Y. Ben; Abdelkrim, M. N. Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: 3d magnetic resonance image; Brain images; Descriptors; Disease progression; Features extraction; Multiple sclerose lesion evolution; Multiple sclerosis; Multiple sclerosis lesions; New approaches; Orthogonal plane, Brain mapping; Diagnosis; Diseases; Local binary pattern; Patient treatment, Magnetic resonance imaging @conference{Yahia2023, Multiple Sclerosis (MS) lesions is a chronic autoimmune inflammatory disease that affects the nerves in the spinal cord and the brain. Magnetic Resonance Imaging (MRI) is a successful, highly sensitive MS lesion diagnostic technique. It is used to monitor the activity and progression of this disease. Monitoring the progression of multiple sclerosis (MS) is crucial for timely intervention and treatment adjustments, as it can help improve patients’ quality of life and contribute to ongoing research efforts to better understand the disease. This paper uses two techniques to monitor MS lesions progression: the Decimal Descriptor Pattern (DDP) and the Local Binary Pattern (LBP). These operators are used to extract the most important features and to characterize the properties of the structures in the brain. 3D MRI brain are described using a collection of orthogonal planes. We have developed an extension to the DDP descriptor to improve the performance in MS evolution. Our results are proof that our approach is effective and fast. © 2023 IEEE. |
Darghouthi, A.; Khlifi, A.; Chibani, B. Equalizers Performance Enhancing in MISO-OTFS Configuration Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Bit error rate, Bit-error rate; Diversity; High data rate; High data-rates; High mobility; Mobile communication networks; Performance enhancing; Space configuration; Time-frequency space; Waveforms, Equalizers; Mean square error; Mobile telecommunication systems; Network layers; Quality of service; Wireless networks @conference{Darghouthi2023, For future mobile communications networks, a key challenge is to offer and retain a number of parameters, like high data rates, while preserving a greater degree of service quality (QoS). Main performance indexes lower latency and power consumption. It’s widely known that this is the most reliable choice for the post-fifth physical layer. Mobile networks adopt a famous modulation model named OTFS (Orthogonal Time-Frequency Space). So, the paper concerns how better an equalization procedure will be based on both ZF (zero forcing) and MMSE (minimum mean square error equalization) with respect to offered complexity. The effectiveness of these various strategies will be investigated in this study with reference to the obtained simulation results. © 2023 IEEE. |
Ounis, W.; Chetoui, M.; Najar, S.; Aoun, M. Programmable analogue fractional controller realization Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Analog circuits; Continuous time systems; Controllers; Operational amplifiers; Potentiometers (electric measuring instruments); Signal processing; Timing circuits, Digital potentiometer; First order; First order low-pass filter; Fractional integrators; Fractional-order controllers; Higher order dynamics systems; Low-pass filters; Programmable analog circuit; Programmable analogs; Real- time, Low pass filters @conference{Ounis2023, 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. |
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{Aloui2023, 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. |
Farah, K.; Chabir, K.; Abdelkrim, M. N. High level Petri nets-based proposal of an integrated intrusion detection and prevention mechanism in network controlled systems Article de journal Dans: IET Communications, vol. 17, no. 4, p. 469-477, 2023, ISSN: 17518628, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Colored Petri Nets; Controlled system; Fault prevention; Faults diagnosis; High-level Petri nets; In networks; Intrusion detection and prevention; Network-controlled; Performance; Sensor fault detection, Fault detection; Intrusion detection; Network security, Petri nets @article{Farah2023469, The authors’ work deals with modelling with coloured Petri nets (CPN) of network controlled systems (NCS) and exposes a proposal of a sensor fault detection and prevention mechanism. In NCS, the network must be viewed as part of the system and not just a means of communication. For this, two issues must be considered. The first consists of adapting the control and diagnostic laws to the performance of the network. The second is to guarantee the performance of the system. Each control loop containing a network is vulnerable to faults and cyber attacks and malicious users can intercept and listen to data during transmission. For that reason, it is essential to protect transmitted data against unauthorized access and modification and to diagnose components. In this paper, the authors presented a model with CPN of a NCS, the authors proposed a sensor fault detection and correction mechanism, then the authors injected a sensor fault and the authors tested the effectiveness of the proposed mechanism in detecting that fault and correcting its influence. Simulation results proved the success of the preventive mechanism in overcoming the influence of the fault and returning to normal behaviour. © 2022 The Authors. IET Communications published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. |
Ghabri, H.; Fathallah, W.; Hamroun, M.; Othman, S. Ben; Bellali, H.; Sakli, H.; Abdelkrim, M. N. AI-enhanced thyroid detection using YOLO to empower healthcare professionals Conférence vol. 13, no. 1, Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Artificial intelligence technologies; Diagnostic process; Emergency situation; Health care professionals; Medical diagnose healthcare assistance; Medical fields; Objects detection; Speed up; Ultrasound thyroid detection; YOLO, Decision making; Diagnosis; Health care; Object recognition; Ultrasonic applications, Object detection @conference{Ghabri2023, In this research, we present an approach to improve thyroid diagnosis and provide experts in medical fields by leveraging artificial intelligence (AI) technology. Our research aims to speed up the diagnostic process, particularly in emergency situations where specialized medical personnel are not always available. Our technology includes a user-friendly interface that enables healthcare professionals to efficiently submit ultrasound scans of their patients’ thyroids. The images are then analyzed using integrated AI algorithms based on the YOLOv5 object detection model. In real-time, these algorithms efficiently and rapidly identify and localize thyroid areas. With an overall precision rate of 0.879 and a recall rate of 0.862, the results show a high degree of precision and recall. The average precision (mAP50) is 0.892, confirming the accuracy of localization. The system offers invaluable support to healthcare professionals with comprehensive reports and annotations, facilitating informed decision-making and patient care. The combination of AI technologies presented in this study yields promising results, highlighting their potential to transform thyroid detection and professional assistance in the medical field. © 2023 IEEE. |
Troudi, I.; Chibani, B. Bandwidth With FSS Antennas Enhancement Using MoM Approach Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Antenna behavior; Antenna design; Antenna gains; Antenna performance; Frequency-selective surfaces; Optimization approach, Bandwidth; Electromagnetic wave absorption; Electromagnetic waves; Method of moments, Frequency selective surfaces @conference{Troudi2023, This paper presents a study concerning an antenna behavior optimization approach based on Frequency Selective Surfaces (FSS). This is done using the Method of Moments (MoM). Periodic structures can select, filter, and manipulate electromagnetic waves based on their frequency. Antenna design could be enhanced using FSS to improve antennas’ performance. They can be used to enhance antenna gain or act as a Frequency Selective Surface to reject unwanted frequencies. © 2023 IEEE. |
Ethabet, H.; Dadi, L.; Raissi, T.; Aoun, M. L∞ Set-membership Estimation for Continuous-time Switched Linear Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Bounded error context; Continous time; Continuous-time switched system; Interval observers; L∞ technique; matrix; Set-membership estimation; Switched linear system; Switched system; Unknown but bounded, Continuous time systems; Linear matrix inequalities; Linear systems; Lyapunov functions, State estimation @conference{Ethabet2023, In this work, we focuses on the problem of designing an interval state estimation for continuous-time Switched Linear Systems (SLS) in the Unknown But Bounded Error (UBBE) context. To do so, we design a new structure of interval observers by introducing weighted matrices not only to give more degrees of design freedom but also to attenuate the conservatism caused by uncertainties. Observer gains are derived from the solution of Linear Matrix Inequalities (LMIs), based on the use of a common Lyapunov function, to ensure cooperativity and stability. An L∞ technique is then introduced to compensate the measurement noise and disturbances’ effects and to enhance the precision of interval estimation. Finally, numerical simulations are given, evaluating the proposed methodology and demonstrating its effectiveness. © 2023 IEEE. |
Dabbaghi, B.; Hamidi, F.; Jerbi, H.; Aoun, M. Estimating and enlarging the domain of attraction for a nonlinear system with input saturation Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Actuator saturations; Algebraic representations; Convex hull; Differential algebraic; Differential algebraic representation; Domain of attraction; Input saturation; Nonlinear; Stabilization problems, Algebra; Computational geometry, Nonlinear systems @conference{Dabbaghi2023, 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. |
Farah, K.; Chabir, K.; Abdelkrim, M. N. High level petri nets modeling of advanced vehicle control Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Advanced vehicle; Cooperative driving; Driving systems; Expandable cooperative driving system (EX-platoon); High-level Petri net modeling; High-level Petri nets; Inscription; Model-based OPC; Petri network; Vehicle Control, Control system synthesis; Cooperative communication; Petri nets; Vehicle to vehicle communications; Vehicles, Traffic congestion @conference{Farah2023, In this document we propose improvements in terms of communication between parts of the existing cooperative conduct system. These modifications make the system expandable in number of vehicles. That is to say, along its route, this platoon will send a aleatory call to all connected drivers, to join it. Each vehicle wishing to be part of this platoon must send a configuration and registration message and must provide the necessary information to be part of the platoon. This new feature can reduce traffic congestion and save energy. This article, paves the way for the emergence of a new type of driving system that we will call « EX-platoon »extensible platoon abbreviation. Thus, through this document, we will develop a model based on a Petri network describing the flow of messages exchanged between the different parts of this system necessary to allow the cooperative driving system to be extensible. This article presents a high-level model based on the Petri network for internal and external communication flow in a scalable cooperative driving system. © 2023 IEEE. |
Monia, Ibrahim; Mohamed-Bechir, Dadi; Chibani, Rhaimi B. Benefits of high speed telecommunication in telemedicine for rural zone health problems Conférence 2023. @conference{Monia2023, |
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. |
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. |
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. |
Khalil, E. M.; Mohamed, N.; Mohamed, H.; Lassad, S. Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665479820, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Asynchronous generators; Cost functions; Decision making; Electric fault currents; Electric machine theory; Energy conversion; Matrix converters; Predictive control systems; Set theory; Wind power, Direct matrix converter; Doubly fed induction generators; Doubly feed induction generator; Finite set; Finite set model predictive control; Fuzzy Decision making; Model predictive; Model-predictive control; Set models, Model predictive control @conference{Khalil2022, This paper deals with the study of finite set model predictive current control (FS-MPC) for doubly fed induction generator (DFIG) derived by direct matrix converter (DMC). The FS-MPC has proven it effectiveness in many power applications. This control technique possess a small steady state error in different operating conditions, a high sensitivity and fast dynamic response, and it can be applied in both linear and nonlinear systems. In the other hand, the frailty of this method consists of parameter mismatches which affect mathematical model. To overcome this problem, we propose to add past errors of rotor current to the cost function and adjust the weighting factors of the cost function with fuzzy decision making approach (FDM). The MATLAB/Simulink tool is used to evaluate the performance of this system in various scenarios. © 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/) |
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{Walid2022798b, 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. |
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. |
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, (Cited by: 4). Résumé | Liens | BibTeX | Étiquettes: @article{Yakoub2022181b, 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. |
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. |
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: Component faults, Control system stability, Control theory, Fault magnitudes, Fault tolerance, Faults tolerant controls, Interval observers, Linear parameter varying systems, Linear systems, LPV systems, Novel methodology, Observer-based, State feedback, Uncertainty, Unknown but bounded @article{Lamouchi2022986b, 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. |
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. |
Yakoub, Zaineb; Naifar, Omar; Amairi, Messaoud; Chetoui, Manel; Aoun, Mohamed; Makhlouf, Abdellatif Ben A Bias-Corrected Method for Fractional Linear Parameter Varying Systems Article de journal Dans: Mathematical Problems in Engineering, vol. 2022, 2022, (Cited by: 1; All Open Access, Gold Open Access). Résumé | Liens | BibTeX | Étiquettes: Bias correction, Correction techniques, Fractional model, Fractional order, Identification algorithms, LeastSquare algorithm, Linear parameter varying systems, Linear programming, Linear systems, Nelder-Mead simplex methods, Performance, Reliable results @article{Yakoub2022e, 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. |
Victor, Stéphane; Mayoufi, Abir; Malti, Rachid; Chetoui, Manel; Aoun, Mohamed System identification of MISO fractional systems: Parameter and differentiation order estimation Article de journal Dans: Automatica, vol. 141, 2022, (Cited by: 10). Résumé | Liens | BibTeX | Étiquettes: Continous time, Continuous time systems, Fractional model, Fractional systems, Instrumental variables, Intelligent systems, Monte Carlo methods, Multiple input single output systems, Multiple inputs single outputs, Optimization, Optimization algorithms, Order estimation, Order optimizations, Parameter estimation, Religious buildings, System-identification @article{Victor2022b, 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 |
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: Active fault tolerant control, Actuator fault, Actuator fault estimation, Actuators, Discrete time, Discrete time control systems, Discrete-time linear parameter-varying system, Fault estimation, Fault tolerance, Faulting, Interval observers, Linear parameter varying systems, Linear systems, L∞ norm, State feedback, Uncertainty analysis, ∞norm @article{Lamouchi2022h, 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. |
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, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: @article{Saidi2022159b, 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. |
Dadi, Leila; Dinh, Thach Ngoc; Raïssi, Tarek; Ethabet, Haifa; Aoun, Mohamed New Finite-Time Observers design for a Discrete-Time Switched Linear System Conférence vol. 55, no. 40, 2022, (Cited by: 0; All Open Access, Bronze Open Access, Green Open Access). Résumé | Liens | BibTeX | Étiquettes: Additive disturbance, Approximate estimation, Discrete time, Exact estimation, Finite-time observers, Fixed time, Initial state, Linear systems, Measurement Noise, Observers designs, Switched linear system @conference{Dadi202273b, 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/) |
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: Discrete time, Fault detection, Faults detection, Linear parameter varying systems, Linear systems, Measurement Noise, Numerical methods, Performance, Robust fault detection, Sensors faults, Uncertainty, Unknown but bounded, Zonotopes @conference{Lamouchi2022773b, 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. |
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. |
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 |
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, |
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{Dadi2022190b, 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. |
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. |
Yakoub, Zaineb; Amairi, Messaoud; Chetoui, Manel; Aoun, Mohamed Bias Recursive Least Squares Method for Fractional Order System Identification Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Additive noise, Algebra, Bias compensation, Fractional order, Fractional order differentiation, Fractional-order systems, Identification, Least Square, Least squares approximations, Model problems, Modelling and identifications, Recursive least-squares method, System-identification @conference{Yakoub20221003b, 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. |
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{Jerbi2022b, 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. |
Souid, Abdelbaki; Sakli, Nizar; Sakli, Hedi Toward an Efficient Deep Learning Model for Lung pathologies Detection In X-ray Images Conférence 2022, (Cited by: 10). @conference{Souid20221028, |
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. |
Thabet, A.; Frej, G. B. H.; Gasmi, N.; Mansouri, K.; Chauveau, E. State and output feedback control for Lipschitz nonlinear systems in reciprocal state space: synthesis and real-time validation Article de journal Dans: Bulletin of Electrical Engineering and Informatics, vol. 11, no. 5, p. 2518-2526, 2022, ISSN: 20893191, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: @article{Thabet20222518, In industrials process and many studies cases, state and output derivative variables can be easily modeled in reciprocal state space (RSS) form than the standard one. Formulation of stabilization problem with a guaranteed cost control using feedback principle for Lipschitz nonlinear systems (LNS) in RSS is presented in this brief. The asymptotic stability, using the proper Lyapunov functions of the closed-loop system, is guaranteed. The control design problem is guaranteed through a resolution of linear matrix inequalities (LMI) technique under certain lemmas and minimization of non-standard cost control. Experimental validation shows the good performances of the proposed method using real-time implementation (RTI) with a digital signal processing (DSP) device (Arduino MEGA 2560). © 2022, Institute of Advanced Engineering and Science. All rights reserved. |
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. |
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. |
Lamouchi, Rihab; Amairi, Messaoud; Raïssi, Tarek; Aoun, Mohamed Active fault tolerant control using zonotopic techniques for linear parameter varying systems: Application to wind turbine system Article de journal Dans: European Journal of Control, vol. 67, 2022, (Cited by: 3). Résumé | Liens | BibTeX | Étiquettes: Active fault tolerant control, Actuator fault, Actuator fault estimation, Actuators, Discrete time, Discrete time control systems, Discrete-time linear parameter-varying system, Fault estimation, Fault tolerance, Faulting, Linear parameter varying systems, Linear systems, L∞ norm, System stability, Uncertainty analysis, Wind turbine systems, Wind turbines, Zonotopic technique, ∞norm @article{Lamouchi2022g, This paper deals with the design of an Active Fault Tolerant Control (AFTC) approach for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation method is developed by integrating robust observer design with zonotopic techniques. The proposed observer is developed using L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the estimation. Then, an AFTC strategy is used to compensate actuator fault effect and maintain system stability. Finally, the effectiveness of the proposed method is demonstrated by a case study on a 4.8MW wind turbine benchmark system. © 2022 European Control Association |
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. |
Othman, S. B.; Almalki, F. A.; Sakli, H. Internet of Things in the Healthcare Applications: Overview of Security and Privacy Issues Ouvrage Springer Nature, 2022, ISBN: 9789811681509; 9789811681493, (cited By 4). Résumé | Liens | BibTeX | Étiquettes: @book{Othman2022195, Current advances in technology have led to the emergence of networks of small and low-cost devices that incorporate sensors with embedded processing and limited wireless communication capabilities. IoT is used in healthcare for monitoring patients via wearable sensors for measuring many physiological information. These collected information’s can be stored, processed, and make it available to doctors to give a consultation at any time which improves the efficiency of the traditional medical systems. Indeed, due to multiple design faults and a lack of effective security measures in healthcare equipment and applications, the healthcare industry based in IoT is increasingly confronting security challenges and threats. For this reason, big security measures should be taken to ensure that patients’ data can only be accessed by legitimate users. In this chapter, we offer a comprehensive overview of many potential attacks and explore their implications. In addition, we examine and debate the existing security solutions proposed for healthcare systems. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. |
Sakli, N.; Baccouche, C.; Zouinkhi, A.; Sakli, H.; Najjari, M. Internet of Things (IoT) System with Matlab interface for Multi Patient ECG’s Monitoring Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Bluetooth, Electrocardiography; Internet of things; mHealth; Military applications; Remote patient monitoring; Smartphones; Telemedicine; Web services; Wi-Fi; Wireless local area networks (WLAN); Wireless sensor networks; Zigbee, GSM/GPRS; Noise motion; Noise pressure; Noise temperature; Pressure motions; Real- time; Sensors network; Smart phones; Web servers; Wire-less sensor network @conference{Sakli20221748, The wireless sensor network (WSN) is used to monitor environmental or phenomena physical, such as noise, pressure, motion or temperature, and to transmit data to the capital. Nowadays, with the explosive growth of IoT technology, more and more practical applications can be found in many fields, including security, smart metering, agriculture, smart cities and more domestic intelligence. There are other applications, especially military, home automation, industrial, sanitary, and especially medical applications and sanitary. This article suggests and explores home health care. The Arduino can be used to perform a portable ECG with the heart condition reading function. The main component of this system is the AD8232 sensor which can read the heart rate and process the voltage of the electrodes connected to the body. By combining the Arduino UNO microprocessor and HC 05 FC-114 as Bluetooth or Wifi, ZigBee antenna, GSM/GPRS and even XBee, the ECG screen is displayed in real time on a smartphone. We used an ECG simulator as an artificial corrective agent which is used as a tool to justify the performance of a portable ECG supported on the results obtained from the test. The EGC can be sent via the simulator to the smartphone or to the Matlab interface through a wireless communication module (ZigBee, Bluetooth, Wifi, GSM / GPRS or XBee). The exact result shows the patient’s condition in real time. In this article, ECG results are published through the Matlab interface. © 2022 IEEE. |
Publications
2023 |
An Artificial Neural Network for Solar Energy Prediction and Control Using Jaya-SMC Article de journal Dans: Electronics (Switzerland), vol. 12, no. 3, 2023, (Cited by: 2; All Open Access, Gold Open Access, Green Open Access). |
Comparative Analysis of DIDIM and IV Approaches using Double Least Squares Method Article de journal Dans: International Journal of Advanced Computer Science and Applications, vol. 14, no. 6, p. 788 – 796, 2023, (Cited by: 0; All Open Access, Gold Open Access). |
Fourth-order cumulants based-least squares methods for fractional Multiple-Input-Single-Output Errors-In-Variables system identification Article de journal Dans: Fractional Calculus and Applied Analysis, vol. 26, no. 4, p. 1868 – 1893, 2023, (Cited by: 0). |
Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
Equalizers Performance Enhancing in MISO-OTFS Configuration Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
Programmable analogue fractional controller realization Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
Estimating and enlarging the domain of attraction for polynomial systems using a deep learning tool Conférence 2023. |
High level Petri nets-based proposal of an integrated intrusion detection and prevention mechanism in network controlled systems Article de journal Dans: IET Communications, vol. 17, no. 4, p. 469-477, 2023, ISSN: 17518628, (cited By 0). |
AI-enhanced thyroid detection using YOLO to empower healthcare professionals Conférence vol. 13, no. 1, Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 1). |
Bandwidth With FSS Antennas Enhancement Using MoM Approach Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
L∞ Set-membership Estimation for Continuous-time Switched Linear Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
Estimating and enlarging the domain of attraction for a nonlinear system with input saturation Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
High level petri nets modeling of advanced vehicle control Conférence Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
Benefits of high speed telecommunication in telemedicine for rural zone health problems Conférence 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. |
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. |
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. |
Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665479820, (cited By 1). |
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). |
REAL TIME TUNEABLE ANALOGUE PID CONTROLLER REALIZATION Conférence 2022, (Cited by: 0). |
Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems Conférence 2022, (Cited by: 1). |
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, (Cited by: 4). |
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). |
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). |
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). |
A Bias-Corrected Method for Fractional Linear Parameter Varying Systems Article de journal Dans: Mathematical Problems in Engineering, vol. 2022, 2022, (Cited by: 1; All Open Access, Gold Open Access). |
System identification of MISO fractional systems: Parameter and differentiation order estimation Article de journal Dans: Automatica, vol. 141, 2022, (Cited by: 10). |
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). |
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, (Cited by: 0). |
New Finite-Time Observers design for a Discrete-Time Switched Linear System Conférence vol. 55, no. 40, 2022, (Cited by: 0; All Open Access, Bronze Open Access, Green Open Access). |
Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems Conférence 2022, (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). |
System identification of MISO fractional systems: Parameter and differentiation order estimation Article de journal Dans: Automatica, vol. 141, 2022, ISSN: 00051098, (cited By 12). |
Comparison between a simple serial and a voltage doubler rectifiers circuits Conférence 2022, (Cited by: 0). |
Set-Membership Fault Detection for Discrete-time Switched Linear 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). |
Bias Recursive Least Squares Method for Fractional Order System Identification Conférence 2022, (Cited by: 0). |
Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). |
Toward an Efficient Deep Learning Model for Lung pathologies Detection In X-ray Images Conférence 2022, (Cited by: 10). |
REAL TIME TUNEABLE ANALOGUE PID CONTROLLER REALIZATION Conférence 2022, (Cited by: 0). |
State and output feedback control for Lipschitz nonlinear systems in reciprocal state space: synthesis and real-time validation Article de journal Dans: Bulletin of Electrical Engineering and Informatics, vol. 11, no. 5, p. 2518-2526, 2022, ISSN: 20893191, (cited By 1). |
Bias Recursive Least Squares Method for Fractional Order System Identification Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). |
Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). |
Active fault tolerant control using zonotopic techniques for linear parameter varying systems: Application to wind turbine system Article de journal Dans: European Journal of Control, vol. 67, 2022, (Cited by: 3). |
Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity Conférence 2022, (Cited by: 1). |
Internet of Things in the Healthcare Applications: Overview of Security and Privacy Issues Ouvrage Springer Nature, 2022, ISBN: 9789811681509; 9789811681493, (cited By 4). |
Internet of Things (IoT) System with Matlab interface for Multi Patient ECG’s Monitoring Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). |