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This paper aims to design a controller to robustly stabilize uncertain nonlinear systems with time-varying delay and norm bounded uncertainties via Takagi-Sugeno (T-S) fuzzy model. The stabilization conditions are given in the form of linear matrix inequalities using a single Lyapunov-Krasovskii functional (LKF) combining the introduction of some relaxation matrices and only one tuning parameter....
A delay-dependent robust Hinfin static output feedback control problem for a class of T-S time-varying delay fuzzy systems where uncertainties come into the state and input matrices is presented. A sufficient condition that the closed-loop systems is robust asymptotically stable is derived via Lyapunov-Krasovkii functional (LKF), fuzzy free-weighting matrices and the parallel distributed compensation...
This paper deals with the problem of controller failure analysis for T-S fuzzy systems with time-varying delay. The T-S fuzzy systems can be stabilized by a pre-designed state feedback controller. Our objective is to establish conditions concerning controller failure time and frequency, under which the systems still keep exponentially stable. Based on piecewise Lyapunov functional method, exponential...
This paper investigates the problem of delay-dependent robust Hinfin filtering design for a class of uncertain discrete-time state-delayed T-S fuzzy systems. The state delay is assumed to be time-varying and of an interval-like type, which means that both the lower and upper bounds of the time-varying delay are available. The parameter uncertainties are assumed to have a structured linear fractional...
This paper focuses on problem of quadratic dissipative control for networked nonlinear system with random delay. The T-S discrete fuzzy model system is adopted for modeling the nonlinear system. The dynamic output feedback controller is to be designed. Random delays from the sensor to the controller and from the controller to the actuator are simultaneously considered. And the random delays are described...
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