Stabilizing fuzzy static output control for a class of nonlinear systems

Author

Krokavec, D. ; Filasová, A.

Author_Institution

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

fYear

2012

fDate

13-15 June 2012

Firstpage

285

Lastpage

290

Abstract

The paper presents new conditions suitable in design of a stabilizing static output 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 design conditions are outlined in the terms of linear matrix inequalities to possess a stable closed-loop system closest to optimal asymptotic properties. Simulation result illustrates the design procedure and demonstrates the performances of the proposed design method.

Keywords

Lyapunov methods; closed loop systems; continuous time systems; control system synthesis; fuzzy control; linear matrix inequalities; nonlinear control systems; optimal control; stability; Lyapunov inequality; Takagi-Sugeno model; continuous-time nonlinear system; controller design; fuzzy static output control; linear matrix inequalities; measurable premise variable; optimal asymptotic properties; stable closed-loop system; Fuzzy systems; Linear matrix inequalities; Mathematical model; Nonlinear systems; Numerical stability; Stability analysis; Symmetric matrices; Takagi-Sugeno models; convex optimization; fuzzy output control; linear matrix inequalities;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Engineering Systems (INES), 2012 IEEE 16th International Conference on

Conference_Location

Lisbon

Print_ISBN

978-1-4673-2694-0

Electronic_ISBN

978-1-4673-2693-3

Type

conf

DOI

10.1109/INES.2012.6249846

Filename

6249846