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Dhouha Kharrat

Researcher at University of Picardie Jules Verne

Publications -  7
Citations -  84

Dhouha Kharrat is an academic researcher from University of Picardie Jules Verne. The author has contributed to research in topics: Actuator & Fuzzy control system. The author has an hindex of 4, co-authored 6 publications receiving 53 citations. Previous affiliations of Dhouha Kharrat include University of Sfax.

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Journal ArticleDOI

Adaptive Observer and Fault Tolerant Control for Takagi-Sugeno Descriptor Nonlinear Systems with Sensor and Actuator Faults

TL;DR: An Adaptive Fuzzy Observer is firstly proposed to achieve a simultaneous estimation of descriptor system states, actuator and sensor faults by using the H∞ optimization technique and a FTC is secondly proposed to stabilize the faulty descriptor system.
Journal ArticleDOI

Adaptive Fuzzy Observer-Based Fault-Tolerant Control for Takagi–Sugeno Descriptor Nonlinear Systems with Time Delay

TL;DR: This paper investigates the problems of state/fault estimation and active fault-tolerant control (AFTC) design for time-delay descriptor fuzzy systems subject to external disturbances and actuator faults using Takagi–Sugeno fuzzy models.
Journal ArticleDOI

Adaptive observer-based H∞ FTC for T-S fuzzy systems. Application to cart motion model

TL;DR: An adaptive observer-based fault-tolerant control strategy is proposed for a class of Takagi-Sugeno (T-S) fuzzy systems with both actuator and sensor faults under external disturbances to present an acceptable compromise between conservatism reduction and computational complexity.
Proceedings ArticleDOI

Fault tolerant control based on adaptive observer for Takagi-Sugeno fuzzy descriptor systems

TL;DR: In this article, the problem of fault-tolerant control for Takagi-Sugeno fuzzy descriptor system by using Adaptive Observer has been studied and the results of simulation results are given to illustarte the performances of the propounded actuator fault estimation.
Proceedings ArticleDOI

Learning Observer-Based Robust H∞ Fault-Tolerant Control for Takagi-Sugeno Descriptor Systems with Time-Delay

TL;DR: This brief is concerned with the problem of learning observer-based robust H∞ fault-tolerant Control for Takagi-Sugeno (T-S) fuzzy descriptor systems with time-delay affected by both actuator faults and external disturbances, and uses the H optimization technique to provide analysis and design conditions.