Title :
Takagi-Sugeno model-based state estimation for one class of nonlinear systems with unknown disturbances
Author :
Krokavec, D. ; Filasová, A. ; Hladký, V.
Author_Institution :
Dept. of Cybern. & Artificial Intell., Tech. Univ. of Kosice, Kosice, Slovakia
Abstract :
The paper presents conditions suitable in design of state observers for a class of continuous-time nonlinear systems with unknown input, represented by Takagi-Sugeno models with unmeasurable premise variables. Based on 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 observer design method.
Keywords :
Lyapunov methods; continuous time systems; linear matrix inequalities; nonlinear control systems; observers; state estimation; Lyapunov inequality; Takagi-Sugeno model-based state estimation; continuous-time nonlinear systems; linear matrix inequalities; optimal asymptotic properties; stable structure; state observers design method; unknown disturbances; unmeasurable premise variables; Mathematical model; Nonlinear systems; Observers; Symmetric matrices; Takagi-Sugeno model; Vectors; Takagi-Sugeno models; convex optimization; linear matrix inequalities; systems with unknown input;
Conference_Titel :
Carpathian Control Conference (ICCC), 2012 13th International
Conference_Location :
High Tatras
Print_ISBN :
978-1-4577-1867-0
DOI :
10.1109/CarpathianCC.2012.6228675
