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Considering the stability caused by the communication delay and the asynchronism between the plant and the controller in networked control systems (NCS), this paper develops robust H∞ guaranteed cost control for networked control systems with bounded random time-delay. First, the networked control systems are modeled uncertainty discrete system based on T-S fuzzy model. The uncertainty of time delay...
This paper investigates the problem of delay-dependent robust guaranteed cost controller design for uncertain neutral T-S fuzzy systems with both discrete and distributed delays based on free weighing matrix approach. A sufficient condition for the solvability of this problem is obtained. This condition, however, is not in the LMI form. Different from the CCL methods used in article, By constructing...
In this paper, a new approach to Hinfin controller design for a class of uncertain discrete T-S fuzzy systems are proposed. According to the Lyapunov stability theory as well as parallel distributed compensation (PDC), several sufficient conditions for stabilization of considered systems are derived. The design procedure based on LMI for the fuzzy robust controller is given, which guarantee the closed-loop...
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...
The problem of stochastic stability and l2 - linfin control for discrete stochastic fuzzy systems with time-delays is considered in this paper. Sufficient conditions are presented in the format of linear matrix inequality. A desired state feedback controller can be designed by solving a set of linear matrix inequalities. At last, the numerical example is given to demonstrate the effectiveness of the...
This paper deals with the problem of robust control for uncertain discrete stochastic fuzzy systems with both state and input time-varying delays. The uncertainties are time-varying but norm-bounded. The purpose is to design a state feedback fuzzy controller such that the resulting closed-loop system is robustly stochastically stable. Based on Takagi-Sugeno (T-S) fuzzy model and relaxed LMI approach,...
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