Title :
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
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;
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
DOI :
10.1109/INES.2012.6249846
