Dissipative fuzzy controller for networked nonlinear system with missing data - Details

author：

Lin, Qiongbin (Lin, Qiongbin.) ^[1] | Yang, Fuwen (Yang, Fuwen.) ^[2] | Wang, Wu (Wang, Wu.) ^[3] (Scholars：王武)

Indexed by：

Abstract：

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.　©　2009　IEEE.

Keyword：

Closed loop systems Controllers Fuzzy neural networks Linear matrix inequalities Networked control systems Nonlinear systems Numerical methods

Community：

[ 1 ] [Lin, Qiongbin]Department of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350002, China
[ 2 ] [Yang, Fuwen]School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China
[ 3 ] [Wang, Wu]Department of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350002, China