Energy-to-peak Filtering for Fuzzy Stochastic Neutral Systems with Time-delays: LMI approach

Author

Zhisheng, Chen ; Yonggang, Li

Author_Institution

Changsha Univ. of Sci. & Technol., Changsha

fYear

2007

Firstpage

253

Lastpage

256

Abstract

Based on Takagi-Sugeno (T-S) fuzzy models, the energy-to-peak filtering problem is studied for a class of nonlinear stochastic neutral systems with delays. Sufficient conditions on the stochastic stability with prescribed L2-L-noise attenuation level are proposed. The conditions and the optimal design of the controller are formulated as a set of direct linear matrix inequalities (LMIs). The effectiveness of the proposed method is illustrated by a simulation example.

Keywords

control system synthesis; delays; filtering theory; fuzzy systems; linear matrix inequalities; nonlinear control systems; stability; stochastic systems; LMI approach; Takagi-Sugeno model; controller design; direct linear matrix inequalities; energy-to-peak filtering problem; fuzzy stochastic neutral system; nonlinear system; stability; time-delay; Attenuation; Delay systems; Filtering; Fuzzy systems; Optimal control; Stability; Stochastic processes; Stochastic systems; Sufficient conditions; Takagi-Sugeno model; Fuzzy delay systems; LMI; energy-to-peak filtering; stochastic;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2007. CCC 2007. Chinese

Conference_Location

Hunan

Print_ISBN

978-7-81124-055-9

Electronic_ISBN

978-7-900719-22-5

Type

conf

DOI

10.1109/CHICC.2006.4346791

Filename

4346791