Abstract
This paper addresses the problem of robust fault tolerant control (FTC) for Takagi-Sugeno (T-S) fuzzy nonlinear systems with unmeasurable premise variables. A fuzzy-augmented descriptor observer design is proposed to achieve a simultaneous estimation of the system states and of the occurring sensor faults. Sufficient conditions for the existence of the controller based observer are established with Lyapunov theory and H∞ performance and given in terms of linear matrix inequalities (LMI). Numerical simulation example is given to illustrate the effectiveness of the proposed FTC scheme.
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