Title :
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
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;
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
DOI :
10.1109/SAMI.2012.6209021
