2022 |
Leila, Ennaceur Arjoun; Othman, Soufiene Ben; Sakli, Hedi IoT Based Patient Health Monitoring System to Combat COVID-19 Pandemic Conférence 2022, (Cited by: 4; All Open Access, Bronze Open Access). @conference{Leila2022144, |
Mhamdi, Halima; Soufiene, Ben Othman; Zouinkhi, Ahmed; Ali, Obaid; Sakli, Hedi Trust-Based Smart Contract for Automated Agent to Agent Communication Article de journal Dans: Computational Intelligence and Neuroscience, vol. 2022, 2022, (Cited by: 2; All Open Access, Gold Open Access, Green Open Access). @article{Mhamdi2022, |
Wardi, M. L.; Abdelkrim, R.; Abdelkrim, M. N. Fractional Order CRONE and PID Controllers Design for Nonlinear Systems Based on Multimodel Approach Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 123-142, 2022, ISSN: 21984182, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: @article{Wardi2022123, This chapter deals with the output regulation of nonlinear control systems in order to guarantee desired performances in the presence of plant parameters variations. The proposed control law structures are based on the fractional order PI (FOPI) and the CRONE control schemes. By introducing the multimodel approach in the closed-loop system, the presented design methodology of fractional PID control and the CRONE control guarantees desired transients. Then, the multimodel approach is used to analyze the closed-loop system properties and to get explicit expressions for evaluation of the controller parameters. The tuning of the controller parameters is based on a constrained optimization algorithm. Simulation examples are presented to show the effectiveness of the proposed method. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
Jouili, A.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, M. N. Fault detection in wheeled mobile robot based on extended kalman filter Conférence 2022, (Cited by: 0). @conference{Jouili2022237, |
Kilani, R.; Zouinkhi, A.; Bajic, E.; Abdelkrim, M. N. Socialization of Smart Communicative Objects in Industrial Internet of Things Conférence vol. 55, no. 10, Elsevier B.V., 2022, ISSN: 24058963, (cited By 4). Résumé | Liens | BibTeX | Étiquettes: Communicating objects; Communicative objects; Heterogeneous object; Interaction mechanisms; Interactive objects; Number of services; Smart devices; Smart objects; Social communities; Social internet of industrial thing, Industrial research; Multi agent systems, Internet of things @conference{Kilani20221924, In the recent past the Internet of Things (IoT) is moving from interactive objects to smart objects. The number of smart devices or sensors built-in becomes larger. The increase in the number of services exchanged between connected objects has led to the creation of a new concept called Social IoT (SIoT), in which heterogeneous or homogeneous objects can interact and request or exchange services, which makes it possible to include social or human actions in the IoT platform. The use of technologies based on the concept of the Internet of Things in applications and industrial sectors has built a new concept of research called the Industrial Internet of Things (IIoT). The integration of the SIoT concept into the Industrial Internet of Things (IIoT) plays an important role in improving system performance in Industry 4.0 and gives rise to the Social Internet of Industrial Things (SIoIT). In this context, we have revealed a new socio-inspired interaction model between industrial communicating objects inspired by sociological approaches that transform objects into socialized industrial communicating objects. These objects form a community, autonomously and dynamically, by exchanging messages to know each other perfectly, and service requests between objects are realized in an adaptive way according to the principles of social interaction governed by socio-inspired strategies and conditions. The model is evaluated using Netlogo multi-agent system simulation environment. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license. |
Sakli, Nizar; Ghabri, Haifa; Zouinkh, I. Ahmed; Sakli, Hedi; Najjari, Mustapha An efficient deep learning model to predict cardiovascular disease based on ECG signal Conférence 2022, (Cited by: 6). @conference{Sakli20221759, |
Sakli, Nizar; Ghabri, Haifa; Soufiene, Ben Othman; Almalki, Faris. A.; Sakli, Hedi; Ali, Obaid; Najjari, Mustapha ResNet-50 for 12-Lead Electrocardiogram Automated Diagnosis Article de journal Dans: Computational Intelligence and Neuroscience, vol. 2022, 2022, (Cited by: 24; All Open Access, Gold Open Access, Green Open Access). @article{Sakli2022, |
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. |
Kilani, R.; Zouinkhi, A.; Bajic, E.; Abdelkrim, M. N. A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects Article de journal Dans: Electronics (Switzerland), vol. 11, no. 8, 2022, ISSN: 20799292, (cited By 6). Résumé | Liens | BibTeX | Étiquettes: @article{Kilani2022, The concept of the Internet of Things (IoT) is widely discussed. IoT is one of the emerging technologies that have caught the attention of many researchers. The increase in the number of exchanges of services between heterogeneous or homogeneous connected objects with the integration of social networking concepts gives rise to the concept of the Social Internet of Things (SIoT). The SIoT concept contributes to the evolution of interactions between industrial objects by improving deterministic mechanisms towards intelligent interactions. The integration of the SIoT concept into the Industrial Internet of Things (IIoT) gives rise to the Social Internet of Industrial Things (SIoIT) and plays an important role in improving system performance in Industry 4.0. In this article, we propose an innovative methodology and a model of socio-inspired interaction between industrial communicating objects inspired by sociological approaches. Thanks to this model, socialized industrial communicating objects form a community of objects, autonomously and dynamically, by exchanging messages to know each other perfectly, and service requests between objects are executed adaptively according to the principles of social interaction governed by socio-inspired strategies and conditions. The model is implemented, tested and validated in a Netlogo multi-agent system simulation environment. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
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. |
Manita, M.; Boussaid, B.; Abdelkrim, M. N. Wheeled Mobile Robot Control Approaches: Comparative Analysis Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Back-step; Backstep-ping; Control approach; Feedback linearisation; Fuzzy-Logic; Lyapunov; Mobile robot control; Nonholonomics; PID; Wheeled mobile robot, Backstepping; Computer circuits; Feedback linearization; Fuzzy logic, Mobile robots @conference{Manita20221913, Robotics has gained the attention of researchers nowadays in the fields, especially control and monitoring. This paper topic concerns comparison between different control laws of Wheeled Mobile Robots (WMR) for linear and circular trajectory tracking. We studied the kinematic and dynamic modeling of this robot, then the control study was carried out by four types of control, such as the classic ‘PID’, the ‘backstepping’ using lyapunov, also ‘Feedback Linearization’ and ‘Fuzzy Logic’, based on the unicycle mobile robot with a nonlinear model. Finally, the comparative study between these methods using Matlab simulink is given. © 2022 IEEE. |
Bensalem, Yemna; Abbassi, Abelkader; Abbassi, Rabeh; Jerbi, Houssem; Alturki, Mansoor; Albaker, Abdullah; Kouzou, Abdallah; Abdelkrim, M. N. Speed tracking control design of a five-phase PMSM-based electric vehicle: a backstepping active fault-tolerant approach Article de journal Dans: Electrical Engineering, vol. 104, no. 4, p. 2155 – 2171, 2022, (Cited by: 2). @article{Bensalem20222155, |
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. |
Jlidi, Mokhtar; Hamidi, Faical; Abdelkrim, Mohamed Naceur; Jerbi, Houssem; Abbassi, Rabeh; Kchaou, Mourad 2022, (Cited by: 1). @conference{Jlidi2022, |
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. |
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. |
Ibrahim, F.; Boussaid, B.; Abdelkrim, M. N. Fault detection in wheeled mobile robot based Machine Learning Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 4). Résumé | Liens | BibTeX | Étiquettes: Classification of defects; Diagnosis faults; Faults detection; Harsh environment; Learning techniques; Machine-learning; Monitoring and control; Random forests; Support vectors machine; Wheeled mobile robot, Fault detection; Intelligent robots; Learning systems; Recurrent neural networks; Support vector machines, Mobile robots @conference{Ibrahim202258, Robotics gained in importance the attention of researchers nowadays in many fields, in particular monitoring and control. Deployed in harsh environments, Artificial Intelligence has shown a powerful ability to detect and diagnose faults. In this paper, a classification of defects is evaluated using different machines. learning techniques such as Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Network (ANN) and Recurrent Neural network (RNN). A comparative analysis is carried out among the techniques previously mentioned on the basis of detection accuracy (DA), true Positive rate (TPR), Matthews correlation coefficients (MCC) and false alarm rate (FAR). © 2022 IEEE. |
Baccouch, C.; Bahhar, C.; Chakrabarty, C.; Sakli, H.; Aguili, T. Springer Nature, 2022, ISBN: 9789811681509; 9789811681493, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: @book{Baccouch2022479, The automatic control system for travel certificates is a platform developed for citizens during the Covid-19 health emergency in Tunisia. It will provide efficiency during the checks carried out at the checkpoints, by making it possible to minimize any contact between the agents and the citizens. It will also allow the spread of the infection to be monitored via a dashboard, indicating the infected cases and a traceability of their movements at the national level to take all the necessary precautions to limit as much as possible a large contamination of the population. The platform, which is still under development, consists first of a desktop application, dedicated to citizens to submit their certificate requests, and to authority officers in the local authority annex to process the requests. Then a mobile application for authority officers at checkpoints to verify citizens’ travel authorizations. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. |
Benjemaa, R.; Elhsoumi, A.; Abdelkrim, M. N. Fault tolerant control for neutral systems with delayed inputs Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Additive control; Delayed input; Design problems; Fault tolerant control; Faults tolerant controls; Neutral systems; Neutral time-delay system; Nominal control; Unknown input observer, Additives; Closed loop systems; Control theory; Delay control systems; Fault detection; Fault tolerance; Linear matrix inequalities; Time delay; Timing circuits, State feedback @conference{Benjemaa2022404, In the present paper, the design problem of fault tolerant control for neutral time delay systems with delayed inputs is studied. The proposed control law is composed into two terms, a nominal control and an additive control. The first term presents the designed state feedback proposed to develop a control strategy which maintains the stability and the desired performance in closed loop system, even in presence of faults. In this case, the Linear Matrix Inequality (LMI) resolution method is applied to determine the feedback gain of the controller. The second one is based on adding an additive fault corrective term to the nominal law. Therefore, the use of unknown inputs observers (UIO) presents an efficient solution for the fault detection and estimation. Finally, the effectiveness of the proposed strategy is proven through a numerical example by the application of the theoretical results to a neutral time delay system with delayed inputs. © 2022 IEEE. |
Yamna, M. Ben; Dakhli, N.; Sakli, H. Rectifier Circuit Design for IoT and 5G Applications Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728184425, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: 5G mobile communication systems; Electric rectifiers; Integrated circuit manufacture; Internet of things; Rectifying circuits; Schottky barrier diodes; Timing circuits, Circuit designs; Conversion circuits; Conversion RF-DC; DC load; Output voltages; Rectifier; Rectifier circuit; RF power; RF-DC conversion; Schottky diodes, Energy harvesting @conference{BenYamna2022591, This work presents the design of a rectifier circuit with single Schottky diode HSMS-2860 operating at 3.5 GHz. The rectifying circuit is developed for Internet of Things (IoT) and 5G applications. It has been designed and optimized with KEYSIGHT ADS software. The RF-DC conversion circuit achieves an efficiency of 63.6% and DC output voltage of 1.2 V with a DC load equal to 2 KΩ, and this for 0 dBm input RF power. © 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, |
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. |
Farah, Khamsa; Chabir, Karim; Abdelkrim, Mohamed Naceur High-Level Petri Nets-Based Modeling of Network Controlled Systems under Communication Constraints (Network-Induced Delay) Article de journal Dans: Scientific Programming, vol. 2022, 2022, (Cited by: 0; All Open Access, Gold Open Access). @article{Farah2022, |
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/) |
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. |
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 |
Darghouthi, A.; Khlifi, A.; Benhmad, T.; Chibani, B. Link Performance Analysis for GFDM Wireless Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: 5G mobile communication systems; Network layers; Quality of service; Wireless networks, Bit error rate, Bit-error rate; Data-rate; Flexibility; Frequency-division- multiplexing; Generalized frequencies; Latency; Link performance; Performances analysis; Waveforms; Wireless systems @conference{Darghouthi2022715, The most important challenge for the next mobile communications network is to afforde the highest data rates with the best quality of service (QoS). This must be done with an ultra-low power consumption and low latency. As we know, Generalized Frequency Division Multiplexing (GFDM) seems to be the best candidate in the fifth’s physical layer of 5G mobile networks. This will be underlined over this paper. We will show utility to use GFDM for different schemes dealing with various systems named SISO, SIMO, MISO, MIMO. Improvements of the mentioned parameters as proved by simulation results will be discussed. © 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: 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. |
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 |
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. |
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. |
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. |
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. |
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. |
Charfeddine, S.; Alharbi, H.; Jerbi, H.; Kchaou, M.; Abbassi, R.; Leiva, V. A Stochastic Optimization Algorithm to Enhance Controllers of Photovoltaic Systems Article de journal Dans: Mathematics, vol. 10, no. 12, 2022, ISSN: 22277390, (cited By 8). Résumé | Liens | BibTeX | Étiquettes: @article{Charfeddine2022, Increasing energy needs, pollution of nature, and eventual depletion of resources have prompted humanity to obtain new technologies and produce energy using clean sources and re-newables. In this paper, we design an advanced method to improve the performance of a sliding mode controller combined with control theory for a photovoltaic system. Specifically, we decouple the controlled output of the system from any perturbation source and assess the effectiveness of the results in terms of solution quality, closed-loop control stability, and dynamical convergence of the state variables. This study focuses on the climatic conditions that may affect the behavior of a solar energy plant to supply a motor with the highest possible efficiency and nominal operating condi-tions. The designed method enables us to obtain an optimal performance by means of advanced control techniques and a slime mould stochastic optimization algorithm. The efficiency and performance of this method are examined based on a benchmark model of a photovoltaic system via numerical analysis and simulation. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
Chaouch, H.; Charfeddine, S.; Aoun, S. B.; Jerbi, H.; Leiva, V. Multiscale Monitoring Using Machine Learning Methods: New Methodology and an Industrial Application to a Photovoltaic System Article de journal Dans: Mathematics, vol. 10, no. 6, 2022, ISSN: 22277390, (cited By 13). Résumé | Liens | BibTeX | Étiquettes: @article{Chaouch2022, In this study, a multiscale monitoring method for nonlinear processes was developed. We introduced a machine learning tool for fault detection and isolation based on the kernel principal component analysis (PCA) and discrete wavelet transform. The principle of our proposal involved decomposing multivariate data into wavelet coefficients by employing the discrete wavelet transform. Then, the kernel PCA was applied on every matrix of coefficients to detect defects. Only those scales that manifest overruns of the squared prediction errors in control limits were considered in the data reconstruction phase. Thus, the kernel PCA was approached on the reconstructed matrix for detecting defects and isolation. This approach exploits the kernel PCA performance for nonlinear process monitoring in combination with multiscale analysis when processing time-frequency scales. The proposed method was validated on a photovoltaic system related to a complex industrial process. A data matrix was determined from the variables that characterize this process corresponding to motor current, angular speed, convertor output voltage, and power voltage system output. We tested the developed methodology on 1000 observations of photovoltaic variables. A comparison with monitoring methods based on neural PCA was established, proving the efficiency of the developed methodology. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
Mohamed, N.; Boukhchana, A.; Aymen, F.; Lassaad, S. Sizing of a Dynamic Wireless Power Transfer System for Electric Vehicles in Highway Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665451680, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Coil; Electric cars; High quality service; Mutual inductance; Power transfer systems; Range anxieties; Wireless charging, Electric vehicles, Energy transfer; Inductance; Inductive power transmission; Traffic congestion @conference{Mohamed2022, Electric cars (EVs) on the road have been plagued by range anxiety. Additionally, the inconvenience of EVs having to spend a lot of time charging while on the highway. Future automated and electrified highways could be powered by inductive power transmission, according to a solution. In terms of providing EVs with convenient service and easing range anxiety, wireless charging has promise. It is essential to control the EVs correctly in order to avoid congestion and to provide high-quality service because the capacity for charging EVs on the highway is constrained (QoS). © 2022 IEEE. |
Ivanov, D. V.; Sandler, I. L.; Yakoub, Z.; Antonova, V. V.; Terekhin, M. A.; Bezyazykova, L. A. Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665456593, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Augmented system of equation; Augmented systems; Error-in-variable; Extended instrumental variable; Instrumental variables; Noisy data; Permanent magnet synchronoi machine; Permanent magnets synchronous machines; Systems of equations; Total least squares, Least squares approximations; Sampling; Synchronous machinery, Permanent magnets @conference{Ivanov2022138, The identification of parameters of the permanent magnet synchronous machine (PMSM) is considered. The paper uses a discrete model of the permanent magnet synchronous machine. The proposed algorithm makes it possible to consider the errors in measurements of current, voltage, and electrical angular speed. Extended instrument variables are used to identify parameters. To solve the overdetermined system, total least squares are used. This makes it possible to improve the accuracy of estimates of extended instrumental variables on a finite sample. The simulation results confirmed the high accuracy of the resulting estimates. © 2022 IEEE. |
Márquez-Vera, C. A.; Márquez-Vera, M. A.; Yakoub, Z.; Ma’Arif, A.; Castro-Montoya, A. J.; Cázarez-Castro, N. R. Fuzzy state feedback with double integrator and anti-windup for the Van de Vusse reaction Article de journal Dans: Archives of Control Sciences, vol. 32, no. 2, p. 383-408, 2022, ISSN: 12302384, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Anti-windup; Chemical process; Double integrator; Fuzzy state; Fuzzy state feedback; Integrator windup; LMI; Non-minimum phase systems; Steady state errors; Van de vusse reaction, Chemical modification; Disturbance rejection, State feedback @article{M\'{a}rquez-Vera2022383, Chemical processes use to be non-minimum phase systems. Thereby, they are a challenge for control applications. In this paper, fuzzy state feedback is applied in the Van de Vusse reaction that has an inverse response. The control design has an integrator to enhance the control performance by eliminating the steady-state error when a step reference is applied. An anti-windup action is used to reduce the undershoot in the system response. In practice, it is not possible to have always access to all the state variables. Thus, a fuzzy state observer is implemented via LMIs. Frequently, the papers that show similar applications present some comments about disturbance rejection. To eliminate the steady-state error when a ramp reference is used, in this work, a second integrator is aggregated. Now, the anti-windup also reduces the overshoot generated due to the usage of two integrators in the final application. Copyright © 2022. The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (CC BY-NC-ND 4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use, distribution, and reproduction in any medium, provided that the article is properly cited, the use is non-commercial, and no modifications or adaptations are made |
Hassen, W. B.; Tellili, A.; Abdelkrim, N.; Wardi, M. I. Diagnosis of Nonlinear Delay Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Actuator fault; Adaptive observer; Constant values; Delayed systems; Delays system; Diagnostic; Dynamic parity space; Fault isolation; Luenberger observers; Parity spaces, Actuators, Fault detection; Nonlinear systems @conference{Hassen2022823, 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. © 2022 IEEE. |
Abdelkrim, T.; Tellili, A.; Abdelkrim, N. Comparison between the additive tolerant control and PID control for nonlinear delayed system Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Additive control; Control laws; Fault estimation; Faults tolerant controls; Non linear; Non linear system; Nonlinear delayed systems; Sensors faults; Systems with time delay; Time-delays, Additives; Control theory; Delay control systems; Fault tolerance; State feedback; System stability; Three term control systems; Timing circuits, Time delay @conference{Abdelkrim2022385, 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. © 2022 IEEE. |
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. |
Mohamed, N.; Aymen, F.; Alharbi, T. E. A.; El-Bayeh, C. Z.; Lassaad, S.; Ghoneim, S. S. M.; Eicker, U. A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles Article de journal Dans: IEEE Access, vol. 10, p. 43865-43881, 2022, ISSN: 21693536, (cited By 28). Résumé | Liens | BibTeX | Étiquettes: Charging (batteries); Electric vehicles; Energy transfer; Functions; Topology; Transmitters, Coil; Dynamic modes; Inductive charging; Modeling; Receiver; Renewable energies; Static modes; Vehicle’s dynamics; Wireless communications; Wireless recharge, Inductive power transmission @article{Mohamed202243865, In the coming years, major transportation sectors will be electrified, in which more accessible and easy solutions for charging Electric Vehicles (EVs) become vital. Wireless charging is considered one of the best and easiest methods to charge EVs anywhere, even during the driving of cars. To get accurate charging power rates while charging wirelessly, advanced mathematical models are needed to accurately present the charging power. Such models must take into consideration all the coils parameters, shapes, the used compensation topology, and if the system is static or dynamic. This paper presents a comprehensive analysis of the wireless charging systems adapted for EVs by stating the most common charging topologies, and architectures, and by concentrating on the corresponding mathematical models used to calculate the given electrical power as a function of the EV’s situation on streets and its speed. Then, it is possible to evaluate the EV autonomy, and an accurate approximation can be determined when EV is on a wireless charging road. Even with the citation and comparison between the two studied models, this paper opens some perspectives for energy transmitter tools and tries to explain how renewable energy can help the deployment of this technology. © 2013 IEEE. |
Yahia, M.; Ali, T.; Mortula, M. M. Span Statistics and Their Impacts on PolSAR Applications Article de journal Dans: IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022, ISSN: 1545598X, (cited By 4). Résumé | Liens | BibTeX | Étiquettes: Accurate estimation; Diagonal elements; Direct calculation; Equivalent number of looks; Probability density function (pdf); Scattering property; Synthetic aperture radar polarimetries; Theoretical modeling, algorithm; detection method; satellite imagery; statistical analysis; synthetic aperture radar, Covariance matrix; Eigenvalues and eigenfunctions; Polarimeters; Synthetic aperture radar, Probability density function @article{Yahia2022, 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. © 2004-2012 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: Detection methods, Fault detection, Fault sensitivity, Faults detection, Finite difference method, H- fault sensitivity, Interval observers, Linear parameter varying systems, Linear systems, L∞ performance, Sensor fault detection, Sensors faults, ∞performance @conference{Lamouchi2022178b, 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. |
2021 |
Yahia, Mohamed; Ali, Tarig; Mortula, Md Maruf; Abdelfattah, Riadh; ElMahdi, Samy On the Use of Span Image in Polsar Speckle Filtering Proceedings Article Dans: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, p. 4019-4022, 2021, ISSN: 2153-7003. Résumé | Liens | BibTeX | Étiquettes: Estimation;Channel estimation;Geoscience and remote sensing;Mean square error methods;Speckle;Information filters;Distortion;Speckle;MMSE filter;PolSAR;span @inproceedings{9554095, The use of the span as a reference image in PolSAR speckle filtering is investigated. It has been demonstrated in this study that span reduced the speckle noise in extended homogeneous areas differently, degraded the spatial details and distorted the filtered intensity image. Then, the impact of span on the filtered PolSAR images is evaluated. The results showed that the drawbacks of the span filtering in terms of speckle filtering, spatial detail and polarimetric information preservation are propagated to the minimum mean square error MMSE-based PolSAR filters. The estimation of the filtering weights from the intensity channels rather than the span resolved these issues. |
Fatnassi, Soumaya; Yahia, Mohamed; Ali, Tarig; Mortula, Md Maruf SAR Speckle Filtering Using Hybrid NonLocal Sigma Filter Proceedings Article Dans: 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), p. 463-467, 2021, ISSN: 2474-0446. Résumé | Liens | BibTeX | Étiquettes: Filtering;Spaceborne radar;Estimation;Speckle;Radar polarimetry;Synthetic aperture radar;NL filter;MMSE filter;SAR;Sentinel1;Speckle;Sigma filter @inproceedings{9429484, Speckle noise in synthetic aperture radar (SAR) images reduces the accuracy of their interpretation. In this paper, a hybrid filtering technique based on the Sigma filter and the non-local mean filter is proposed. The neighborhood used for the estimation of the filtered pixels is selected by analogy to the non-local filtering principle. Non-similar pixels in the search area having high patch distances were discarded. The coefficient variation CV is employed to estimate the variability of the pixels used to select homogeneous pixels in the search area. Results showed that the proposed hybrid filter outperformed the Lee filter and the improved Sigma filter in terms of speckle reduction and spatial detail preservation. Airborne (AirSAR) and Space-borne (Sentlnel1) synthetic aperture radar SAR data were used for validation). |
Yahia, Mohamed; Ali, Tarig; Mortula, Maruf Polarimetric SAR Image Denoising Using the Improved Immse Filter Proceedings Article Dans: 2020 International Conference on Communications, Signal Processing, and their Applications (ICCSPA), p. 1-4, 2021. Résumé | Liens | BibTeX | Étiquettes: Mean square error methods;Speckle;Signal processing;Information filters;Radar polarimetry;Polarimetry;Synthetic aperture radar;IMMSE filter;Lee Sigma filter;PoISAR;Speckle @inproceedings{9385715, Speckle filtering in synthetic aperture radar polarimetry (PolSAR) images is essential for the extraction of significant information for homogeneous extended targets. Obtaining good compromise between high equivalent number of looks (ENL) and spatial detail preservation remains a challenge. In this paper, the filtering performances are improved by hybridizing the iterative minimum mean square error (IMMSE) filter and the Lee Sigma filter. Real SAR data were used to study the effectiveness of the proposed hybrid scheme. |
Chairet, Radhia; Salem, Yassine Ben; Aoun, Mohamed Potential of Multi-scale Completed Local Binary Pattern for Object Based Classification of Very High Spatial Resolution Imagery Article de journal Dans: Journal of the Indian Society of Remote Sensing, 2021. @article{articleb, |
Boucetta, Rahma; Abdallah, Wiem; Ali, Saloua Bel Hadj An Adaptive Control for the Path Tracking of an Active Leg Prosthesis Article de journal Dans: International Journal of Robotics and Control Systems, vol. 1, no. 2, 2021, ISSN: 2775-2658. Résumé | Liens | BibTeX | Étiquettes: Active lower limb prosthesis; Dynamics; Ground forces; TS fuzzy system; PID control; LS method @article{IJRCS350|to_array:0, This paper presents an adaptive fuzzy-PID control strategy applied to an active lower limb prosthesis for trajectories tracking in normal walking, stairs climbing, and stairs descent. Trying to imitate a natural human limb, the prosthesis design challenges rehabilitating amputees to resume normal activities. A dynamic model of an ankle-knee active prosthesis is developed without ground reaction in a first case and introduces ground effect in a second one to ameliorate prothesis performances. The obtained models are used to synthesize a control strategy based on TS fuzzy concepts and PID control to reproduce human lower limb behavior in a normal gait and climb and descent of stairs. The RSME errors are calculated to evaluate and compare the various results performances and eventually show the capacity of the proposed control with ground reaction impact on trajectory tracking. The RMSE values obtained for the four outputs of the fuzzy controller are very small for the different modes of locomotion. Moreover, they become weaker when the ground reaction forces are added to the model to show the role of these forces for the body equilibrium maintaining during the gait cycle. The developed approach ensured good trajectories tracking compared to a healthy leg even in presence of disturbances. |
Publications
2022 |
IoT Based Patient Health Monitoring System to Combat COVID-19 Pandemic Conférence 2022, (Cited by: 4; All Open Access, Bronze Open Access). |
Trust-Based Smart Contract for Automated Agent to Agent Communication Article de journal Dans: Computational Intelligence and Neuroscience, vol. 2022, 2022, (Cited by: 2; All Open Access, Gold Open Access, Green Open Access). |
Fractional Order CRONE and PID Controllers Design for Nonlinear Systems Based on Multimodel Approach Article de journal Dans: Studies in Systems, Decision and Control, vol. 364, p. 123-142, 2022, ISSN: 21984182, (cited By 0). |
Fault detection in wheeled mobile robot based on extended kalman filter Conférence 2022, (Cited by: 0). |
Socialization of Smart Communicative Objects in Industrial Internet of Things Conférence vol. 55, no. 10, Elsevier B.V., 2022, ISSN: 24058963, (cited By 4). |
An efficient deep learning model to predict cardiovascular disease based on ECG signal Conférence 2022, (Cited by: 6). |
ResNet-50 for 12-Lead Electrocardiogram Automated Diagnosis Article de journal Dans: Computational Intelligence and Neuroscience, vol. 2022, 2022, (Cited by: 24; All Open Access, Gold Open Access, Green Open Access). |
Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). |
A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects Article de journal Dans: Electronics (Switzerland), vol. 11, no. 8, 2022, ISSN: 20799292, (cited By 6). |
Bias Recursive Least Squares Method for Fractional Order System Identification Conférence 2022, (Cited by: 0). |
Wheeled Mobile Robot Control Approaches: Comparative Analysis Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). |
Speed tracking control design of a five-phase PMSM-based electric vehicle: a backstepping active fault-tolerant approach Article de journal Dans: Electrical Engineering, vol. 104, no. 4, p. 2155 – 2171, 2022, (Cited by: 2). |
Internet of Things in the Healthcare Applications: Overview of Security and Privacy Issues Ouvrage Springer Nature, 2022, ISBN: 9789811681509; 9789811681493, (cited By 4). |
2022, (Cited by: 1). |
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). |
Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). |
Fault detection in wheeled mobile robot based Machine Learning Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 4). |
Springer Nature, 2022, ISBN: 9789811681509; 9789811681493, (cited By 0). |
Fault tolerant control for neutral systems with delayed inputs Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 1). |
Rectifier Circuit Design for IoT and 5G Applications Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728184425, (cited By 2). |
Toward an Efficient Deep Learning Model for Lung pathologies Detection In X-ray Images Conférence 2022, (Cited by: 10). |
Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems Conférence 2022, (Cited by: 1). |
High-Level Petri Nets-Based Modeling of Network Controlled Systems under Communication Constraints (Network-Induced Delay) Article de journal Dans: Scientific Programming, vol. 2022, 2022, (Cited by: 0; All Open Access, Gold Open Access). |
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). |
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). |
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). |
Link Performance Analysis for GFDM Wireless Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (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). |
System identification of MISO fractional systems: Parameter and differentiation order estimation Article de journal Dans: Automatica, vol. 141, 2022, (Cited by: 10). |
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). |
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, (Cited by: 4). |
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). |
A Stochastic Optimization Algorithm to Enhance Controllers of Photovoltaic Systems Article de journal Dans: Mathematics, vol. 10, no. 12, 2022, ISSN: 22277390, (cited By 8). |
Multiscale Monitoring Using Machine Learning Methods: New Methodology and an Industrial Application to a Photovoltaic System Article de journal Dans: Mathematics, vol. 10, no. 6, 2022, ISSN: 22277390, (cited By 13). |
Sizing of a Dynamic Wireless Power Transfer System for Electric Vehicles in Highway Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665451680, (cited By 0). |
Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665456593, (cited By 2). |
Fuzzy state feedback with double integrator and anti-windup for the Van de Vusse reaction Article de journal Dans: Archives of Control Sciences, vol. 32, no. 2, p. 383-408, 2022, ISSN: 12302384, (cited By 0). |
Diagnosis of Nonlinear Delay Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). |
Comparison between the additive tolerant control and PID control for nonlinear delayed system Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 0). |
Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665479820, (cited By 1). |
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Span Statistics and Their Impacts on PolSAR Applications Article de journal Dans: IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022, ISSN: 1545598X, (cited By 4). |
Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity Conférence 2022, (Cited by: 1). |
2021 |
On the Use of Span Image in Polsar Speckle Filtering Proceedings Article Dans: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, p. 4019-4022, 2021, ISSN: 2153-7003. |
SAR Speckle Filtering Using Hybrid NonLocal Sigma Filter Proceedings Article Dans: 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), p. 463-467, 2021, ISSN: 2474-0446. |
Polarimetric SAR Image Denoising Using the Improved Immse Filter Proceedings Article Dans: 2020 International Conference on Communications, Signal Processing, and their Applications (ICCSPA), p. 1-4, 2021. |
Potential of Multi-scale Completed Local Binary Pattern for Object Based Classification of Very High Spatial Resolution Imagery Article de journal Dans: Journal of the Indian Society of Remote Sensing, 2021. |
An Adaptive Control for the Path Tracking of an Active Leg Prosthesis Article de journal Dans: International Journal of Robotics and Control Systems, vol. 1, no. 2, 2021, ISSN: 2775-2658. |