Stabilizing fuzzy control for a class of nonlinear systems

Author

Krokavec, D. ; Filasová, A. ; Hladký, V.

Author_Institution

Dept. of Cybern. & Artificial Intell., Tech. Univ. of Kosice, Košice, Slovakia

fYear

2012

fDate

26-28 Jan. 2012

Firstpage

53

Lastpage

58

Abstract

The paper presents new conditions suitable in design of a stabilizing controller for a class of continuous-time nonlinear systems represented by Takagi-Sugeno models, and measurable premise variables. Based on an enhanced Lyapunov inequality, the conditions are outlined in the terms of linear matrix inequalities to possess a stable structure closest to optimal asymptotic properties. Simulation results illustrate the design procedure and demonstrate the basic performances of the proposed control design method.

Keywords

Lyapunov methods; control system synthesis; fuzzy control; linear matrix inequalities; nonlinear control systems; stability; Lyapunov inequality; Takagi-Sugeno model; control design method; fuzzy control stability; linear matrix inequalities; nonlinear system; optimal asymptotic property; premise variable; stabilizing controller design; Control design; Fuzzy control; Linear matrix inequalities; Nonlinear systems; Symmetric matrices; Vectors; Takagi-Sugeno models; convex optimization; fuzzy control; linear matrix inequlities;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Machine Intelligence and Informatics (SAMI), 2012 IEEE 10th International Symposium on

Conference_Location

Herl´any

Print_ISBN

978-1-4577-0196-2

Type

conf

DOI

10.1109/SAMI.2012.6209021

Filename

6209021