- Stability and Control of Uncertain Systems
- Neural Networks Stability and Synchronization
- Adaptive Control of Nonlinear Systems
- Elasticity and Wave Propagation
- Matrix Theory and Algorithms
- Control Systems and Identification
- Fault Detection and Control Systems
- Fuzzy Logic and Control Systems
- Chaos control and synchronization
- Photovoltaic System Optimization Techniques
- Stability and Controllability of Differential Equations
- Vehicle Dynamics and Control Systems
- Control and Stability of Dynamical Systems
- Advanced Battery Technologies Research
- Distributed Control Multi-Agent Systems
- Model Reduction and Neural Networks
- Microgrid Control and Optimization
- Hydraulic and Pneumatic Systems
- Advanced Control Systems Design
- Solar Radiation and Photovoltaics
- Control and Dynamics of Mobile Robots
- Cybersecurity and Information Systems
- Frequency Control in Power Systems
- Numerical methods for differential equations
- Advanced Control Systems Optimization
Université de Picardie Jules Verne
2015-2024
Modélisation, information et systèmes
2010-2024
University of Arkansas at Monticello
2023
Conference Board
2023
Centre Hospitalier Universitaire Amiens-Picardie
2018
Laboratoire d’Informatique et Systèmes
2016
Laboratoire de Glycochimie, des Antimicrobiens et des Agroressources
2015
Tallinn University of Technology
2013
Modélisation et Ingénierie des Systèmes Complexes Biologiques pour le Diagnostic
2009
Centre de Robotique
2006-2007
In this work we present a faults detection method for photovoltaic systems (PVS). This is based on the calculation of sets parameters PV module in different operating conditions, by means Neuro-Fuzzy approach. The system status determined evaluation and comparison norms aforementioned parameters, with threshold values. intelligent developed Matlab&Simulink environment, consists study crucial information that six normal faulty condition contain. They are calculated using I-V curves...
In this paper, a method of robust H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> reliable control for uncertain Takagi-Sugeno (T-S) fuzzy systems with unavailable states and time-varying delay is developed. terms linear-matrix inequalities (LMIs), we derive sufficient conditions the existence observer controller. The single-step LMI conditions, depending on size delay, are proposed observer-based controller design. This overcomes...
This paper proposes new method of monitoring and fault detection in photovoltaic systems, based mainly on the analysis power losses system (PV) by using statistical signal processing. Firstly, real time universal circuit model panels is presented. Then, development software a installation performed under MATLAB/Simulink environment. With diagnosis analysis, residual from comparing Simulink generated. To observe clear alarm arbitrary data captured, Wald test technic applied signal. A...
The problem of sliding‐mode control (SMC) with dissipativity for a class time‐delay Takagi–Sugeno fuzzy singular systems is investigated. system subject to uncertainties and input non‐linearity. Based on an integral sliding surface, delay‐dependent criterion developed in terms linear matrix inequalities, which ensures the mode dynamics be robustly admissible strictly (𝓆𝒮ℛ)‐dissipative. Moreover, SMC law established such that reachability specified surface guaranteed. Finally, validity...
Abstract This paper aims to design a controller robustly stabilize uncertain nonlinear systems with time‐varying delay and norm bounded uncertainties via Takagi–Sugeno (T‐S) fuzzy model. The stabilization conditions are given in the form of linear matrix inequalities using single Lyapunov–Krasovskii functional (LKF) combining introduction some relaxation matrices only one tuning parameter. In comparison existing techniques literature, proposed approach has two major advantages. first is...
This paper proposes an intelligent algorithm for optimal management power applied to hybrid renewable standalone system. system focuses on the combination of wind turbine (WT), photovoltaic (PV) as main sources energy and storage batteries, in addition, it uses diesel engine additional source rescue dump load dissipate thee overproduction when there is. The presented by average consumption a household four people. At first, presents modeling various element involved After that, present...
SUMMARY This paper is concerned with the stability analysis and robust dynamic output feedback controller synthesis for uncertain continuous singular systems time‐delay. First, on basis of Lyapunov functional method by resorting to delay‐partition technique, improved delay‐dependent sufficient conditions are presented ensure nominal unforced system be admissible (i.e., regular, impulse‐free, stable). Second, help obtained admissibility criterion, an observer‐based designed solving a set...
Summary This paper addresses the sliding mode control problem for a class of uncertain Takagi‐Sugeno fuzzy singular systems with state delay and subject to input nonlinearity. Our purpose is focused on designing an adaptive controller such complex system. First, new integral‐type function designed. Then, scheme established that resulting closed‐loop system insensitive all admissible uncertainties satisfies reaching condition. Moreover, delay‐dependent sufficient conditions are derived...
This paper investigates the design problem of robust H∞ filtering for uncertain two-dimensional (2D) continuous systems described by Roesser model with polytopic uncertainties and frequency domain specifications. Our aim is to a new filter guaranteeing an performance level in specific finite (FF) domains. Using well-known generalised Kalman Yakubovich Popov lemma homogeneous polynomially parameter-dependent matrices arbitrary degrees, sufficient conditions existence filters different FF...
The resilient sliding mode control (SMC) problem for a class of discrete-time descriptor Takagi–Sugeno (T-S) fuzzy systems with multiple state delays is addressed. Attention focused on the design SMC such that admissibility as well H∞ performance requirement dynamics can be guaranteed in presence time and external disturbances. Based new function, delay-dependent sufficient condition established to ensure desired specified surface. Moreover, law satisfy reaching condition. Finally, two...
Summary This paper investigates the problem of control design for a class uncertain switched singular systems with time‐varying delay. Under mode‐dependent average dwell time and using an appropriate Lyapunov‐Krasovskii functional, exponential admissibility system is analyzed. In order to obtain less conservative conditions, delay partitioning technique adopted as well improved reciprocally convex approach. By means developed condition, static output feedback controller then designed linear...
SUMMARY This paper presents sufficient conditions for the stabilization of switching T‐S fuzzy discrete‐time linear systems. These are obtained when state feedback control laws used. The results formulated in terms LMIs. A numerical example illustrates technique. Copyright © 2011 John Wiley & Sons, Ltd.
This article focuses on the problem of robust H ∞ control for uncertain T–S fuzzy systems with time-varying delay. By employing a novel technique, new delay-dependent stabilisation conditions existence controller are obtained based parallel distributed compensation method. The result is an important contribution as it establishes way that can reduce conservatism without imposing any restrictions and computational efforts at same time. In this article, all shown in terms linear matrix...
This paper investigates the problem of delay dependent stability and H∞ performance for a class linear systems with interval time-varying delay. A new model transformation is first proposed by employing three-terms approximation delayed state variables, better state. By using scaled small gain theorem simple Lyapunov–Krasovskii functional, criteria are in terms matrix inequalities, which can be easily solved standard numerical packages. Finally, examples presented to illustrate effectiveness method.