Title :
The design of L2-L∞ filter for nonlinear fuzzy stochastic system with time-varying delay
Author :
Cai Yixi ; Hua Mingang ; Tan Huasheng
Author_Institution :
Coll. of Internet of Things Eng., Hohai Univ., Changzhou, China
Abstract :
This paper is concerned with the problem of fuzzy filtering of nonlinear fuzzy stochastic systems with time-varying delay. Attention is focused on the design of both the fuzzy-rule-dependent and the fuzzy-rule-independent filters which ensure the error system is asymptotically mean-square stable and a L2-L∞ performance is satisfied. Then, to reduce the conservatism, a delay-dependent approach for the existence of L2-L∞ filters is developed in terms of linear matrix inequalities(LMIs).
Keywords :
asymptotic stability; delays; filtering theory; fuzzy systems; linear matrix inequalities; mean square error methods; nonlinear systems; stochastic systems; L2-L∞ filter design; LMI; asymptotic mean-square stability; conservatism reduction; delay-dependent approach; error system; fuzzy filtering problem; fuzzy-rule-dependent filter design; fuzzy-rule-independent filter design; linear matrix inequalities; nonlinear fuzzy stochastic system; time-varying delay; Bismuth; Delay effects; Delays; Fuzzy systems; Stochastic systems; Symmetric matrices; Time-varying systems; Fuzzy Stochastic System; L2-L∞ Filtering; Linear Matrix Inequality; T-S fuzzy systems; Time Delay;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6895845
