Title :
Observer-based controller for Stochastic Fuzzy Systems
Author_Institution :
Dept. of Mech. Eng., Ecole Polytechnique de Montreal, Que.
Abstract :
This paper deals with the class of continuous-time stochastic fuzzy systems. A model-based fuzzy observer-based control stabilization design utilizing the concept of the so-called parallel distributed compensation (PDC) is employed to stochastically stabilize the class of systems under consideration. LMI-based sufficient conditions are developed to synthesize the observer and the state feedback controller that stochastically stabilizes the stochastic fuzzy system. A numerical example is provided to show the effectiveness of the proposed results
Keywords :
compensation; continuous time systems; fuzzy control; linear matrix inequalities; observers; stability; state feedback; stochastic systems; continuous-time system; linear matrix inequality; observer-based controller; parallel distributed compensation; quadratic stability; state feedback controller; stochastic fuzzy system; Control systems; Fuzzy control; Fuzzy systems; Nonlinear dynamical systems; Nonlinear systems; State feedback; Stochastic systems; Sufficient conditions; Symmetric matrices; USA Councils; Linear matrix inequality; Parallel distributed compensation; Quadratic stability; Stochastic fuzzy systems; stabilizability;
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
DOI :
10.1109/CDC.2006.377062
