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

Abstract : This paper concerns the problem of state, fault estimation (FE) and Fault Tolerant Control (FTC) of Takagi-Sugeno (T-S) descriptor systems affected by sensor, actuator and external disturbances simultaneously. An Adaptive Fuzzy Observer is firstly proposed to achieve a simultaneous estimation of descriptor system states, actuator and sensor faults by using the H (a) optimization technique. A FTC is secondly proposed to stabilize the faulty descriptor system. Based on Lyapunov method, stability analysis and design conditions of the resulting closed-loop system are formulated in a set of Linear Matrices Inequalities (LMIs). The adaptive fuzzy observer and the FTC are independently designed, in order to avoid the coupling problem. Accordingly, the observer and controller gains are computed separately by solving a set of LMIs and then used to estimate the unmeasured states, sensor and actuator faults at the same time. Finally, a truck-trailer system application is given to illustrate the validity of the proposed approach.
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https://hal-u-picardie.archives-ouvertes.fr/hal-03633222
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Soumis le : mercredi 6 avril 2022 - 18:57:06
Dernière modification le : mardi 9 août 2022 - 16:26:20

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Dhouha Kharrat, Hamdi Gassara, Ahmed El Hajjaji, Mohamed Chaabane. Adaptive Observer and Fault Tolerant Control for Takagi-Sugeno Descriptor Nonlinear Systems with Sensor and Actuator Faults. International Journal of Control, Automation and Systems, Springer, 2018, 16 (3), pp.972-982. ⟨10.1007/s12555-017-0546-8⟩. ⟨hal-03633222⟩

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