Title :
Asymptotic suppression of a class of discrete-time hyperchaotic systems based on fuzzy control method
Author :
Wu Zhidan ; Pan Ying ; Deng Wei ; Fusheng, Song
Author_Institution :
Fundamental Teaching Dept. of Comput. & Math., Shenyang Normal Univ., Shenyang, China
Abstract :
The chaotic suppression problem for a class of typical discrete-time hyperchaotic systems is investigated in this paper. A T-S fuzzy model-based control method is employed to eliminate hyperchaos in the considered discrete-time system. Firstly, the T-S fuzzy representation for the discrete-time hyperchaotic system is presented. Then, a state feedback controller is designed based on the parallel distributed compensation technique. According to the linear matrix inequality method and exact linearization technique, two kinds of approaches are given to solve the controller gain matrices. Finally, the validity of the proposed chaotic suppression method is illustrated by a numerical example.
Keywords :
control system synthesis; discrete time systems; fuzzy control; linear matrix inequalities; linearisation techniques; nonlinear control systems; state feedback; asymptotic suppression; chaotic suppression; controller gain matrices; discrete-time hyperchaotic systems; fuzzy control; linear matrix inequality; linearization technique; parallel distributed compensation; state feedback controller; Adaptive systems; Chaos; Control systems; Electronic mail; Linear matrix inequalities; Numerical models; Synchronization; Chaotic Suppression; Discrete-time Hyperchaotic System; Parallel Distributed Compensation Technique; T-S Fuzzy Model;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6