Title :
Fuzzy Tracking Control for a Class of Chaotic Systems
Author :
Jalomo-Cuevas, J. ; Castillo-Toledo, B.
Author_Institution :
Centro de Investigacion y de Estudios Avanzados del IPN, Guadalajara
Abstract :
This paper addresses a linear matrix inequalities (LMI) based fuzzy robust regulation as a control method to synchronize two Lorenz´ chaotic attractors. On basis of the so called internal model approach, a methodology for the controller design is presented. By means of a combination of an exact Takagi-Sugeno (T-S) fuzzy model for the Lorenz attractor and the fuzzy regulation, a control law for the original nonlinear system is proposed. Concerning the stability property of the overall control system, sufficient conditions in the form of LMI´s are derived. By the design of local controllers for each subsystem, the regulation feature is achieved. The controller construction is described and the synchronization objective verified by numerical simulations
Keywords :
chaos; control system synthesis; fuzzy control; linear matrix inequalities; nonlinear control systems; nonlinear dynamical systems; robust control; synchronisation; LMI based fuzzy robust regulation; Lorenz chaotic attractor synchronization; Takagi-Sugeno fuzzy; control system stability; controller design; fuzzy tracking control; internal model approach; linear matrix inequalities; nonlinear system; numerical simulation; robust output regulation; unified chaotic system; Chaos; Control systems; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Robust control; Takagi-Sugeno model;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467193