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The goal of this paper is to study the problem of fault-tolerant control (FTC) for Takagi-Sugeno fuzzy descriptor system by using Adaptive Observer. According to the Layponov functional method and the use of a set of Linear Matrices Inequalities (LMIs), the stability of the T-S system has been realised. By using the gains calculated by the toolbox YALMIP of MATLAB we have the estimated states and...
In this paper we propose a new approach of fault estimation and Fault Tolerant Control (FTC) applied to Linear Time Delay (LTD) systems. To estimate the sensor faults we use the descriptor approach. This method consists in augmenting the state system by considering the faults as an auxiliary state. The used observer can estimate simultaneously both the state of LTD system and sensor faults. The observer...
In this paper, we study a robust fault-tolerant control (FTC) problem for linear systems with time varying actuator and sensor faults and propose an parameter-dependent solution by using L2 gain optimization techniques. Using estimated faults from a fault detection and isolation (FDI) scheme, parameter-dependent robust FTC gain will be scheduled by fault magnitude to stabilize and optimize the faulty...
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