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.
Dissipative control random missing data nonlinear system networked Fuzzy controller LMIs
Qiongbin Lin Fuwen Yang Wu Wang
Department of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350002, PR China. School of Information Science and Engineering, East China University of Science and Technology, Shan
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
515-520
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）