Fuzzy controller design based on sampled-data under time-varying sampling

Author

Ding, Junhang ; Chen, Bing

Author_Institution

Inst. of Complexity Sci., Qingdao Univ., Qingdao, China

fYear

2011

fDate

17-19 Sept. 2011

Firstpage

214

Lastpage

216

Abstract

This paper focuses on the problem of stability analysis and control synthesis for nonlinear systems with variable sampling based on Takagi-Sugeno(T-S) fuzzy model approach. A novel piecewise Lyapunov-Krasovskii functional is constructed for stability analysis and controller design. Based on the feasibility of a set of linear matrix inequalities (LMIs), the sufficient conditions of stabilization via sampled-data feedback are proposed. Numerical example demonstrates the effectiveness of our results.

Keywords

Lyapunov methods; control system synthesis; fuzzy control; linear matrix inequalities; nonlinear control systems; sampled data systems; stability; time-varying systems; Takagi-Sugeno fuzzy model; control synthesis; fuzzy controller design; linear matrix inequalities; nonlinear systems; piecewise Lyapunov-Krasovskii functional; sampled-data feedback; stability analysis; sufficient conditions; time-varying sampling; variable sampling; Delay effects; Fuzzy systems; Linear matrix inequalities; Numerical models; Numerical stability; Stability analysis; Time varying systems; Sampled-data feedback; Takagi-Sugeno (T-S) fuzzy model; linear matrix inequality(LMI);

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems (CIS), 2011 IEEE 5th International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-61284-199-1

Type

conf

DOI

10.1109/ICCIS.2011.6070330

Filename

6070330