TS fuzzy observer based residual generators 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

2011

fDate

21-22 Nov. 2011

Firstpage

45

Lastpage

50

Abstract

The paper presents the principle of fuzzy-observer-based residual generator design for a class of continuous-time nonlinear systems represented by Takagi-Sugeno models, and measurable, as well as unmeasurable premise variables. 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 procedures and demonstrate the basic performances of the proposed residual generator structures.

Keywords

continuous time systems; control system synthesis; fault tolerance; fuzzy control; fuzzy systems; linear matrix inequalities; nonlinear control systems; observers; TS fuzzy observer based residual generator design; Takagi-Sugeno models; continuous-time nonlinear systems; fault-tolerant control design; linear matrix inequalities; optimal asymptotic properties; Generators; Linear matrix inequalities; Mathematical model; Nonlinear systems; Observers; Symmetric matrices; Vectors; Takagi-Sugeno models; convex optimization; fault detection; fuzzy observers; residual generators;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th International Symposium on

Conference_Location

Budapest

Print_ISBN

978-1-4577-0044-6

Type

conf

DOI

10.1109/CINTI.2011.6108549

Filename

6108549