A Less Conservative H Fault-Tolerant Control for NCS Based on T-S Fuzzy Model

Abstract

For a class of nonlinear networked control system (NCS) with network-induced delay and packed dropout, which is influenced by external disturbance with limited energy in transmission, a T-S fuzzy model is employed to represent the nonlinear controlled plant. By using appreciate Lyapunov-Krasovskii function, a H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> integrality sufficient condition against actuator failures is derived based on delay-dependent approach, and the H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> fault-tolerant controller gain can be obtained via solving several linear matrix inequalities(LMIs). Because of the lower bound of the time-delay and free weighting matrixes are introduced, and the model transformation has not been used. Then a less conservative result is obtained. Finally, an example is used to illustrate the effectiveness and feasibility of proposed approach.