Dissipative fuzzy controller for networked nonlinear system with missing data

This paper is concerned with dissipative control for networked nonlinear system with missing data. The T-S discrete fuzzy model is adopted for modeling the nonlinear system. Missing measurement from the sensor to the controller and missing data from the controller to the actuator are simultaneously considered. The missing measurement and missing control are described as the random missing data by a binary switching sequence satisfying a Bernoulli distribution. Sufficient conditions for existence of a dynamic output feedback fuzzy controller, such that the closed-loop system is exponentially mean-square stable and strictly dissipative, are derived in terms of linear matrix inequalities (LMIs). The effectiveness of the proposed method is illustrated by means of a numerical example.