DocumentCode :
2759169
Title :
An equivalent stochastic system model for control of chaotic dynamics
Author :
Wu, Q.H. ; Cao, Y.J.
Author_Institution :
Dept. of Electr. Eng. & Electron., Liverpool Univ., UK
Volume :
3
fYear :
1995
fDate :
13-15 Dec 1995
Firstpage :
2898
Abstract :
This paper investigates an equivalence relation between chaotic and stochastic systems, and presents an equivalent stochastic system model and a learning control strategy for control of chaotic dynamics. The equivalency in invariant measure and ergodicity between the two systems is defined. Based on the definition, the equivalence relation is studied and the equivalent stochastic system model of the chaotic system is derived analytically. The concept of the equivalency can be used to achieve system reconstruction using time series of chaotic systems and to develop the learning control strategy for control of chaotic dynamics
Keywords :
chaos; dynamics; feedback; intelligent control; nonlinear dynamical systems; predictive control; probability; stochastic systems; time series; chaotic dynamics; chaotic system; equivalence relation; equivalency; ergodicity; feedback; invariant measure; learning control; nonlinear dynamical systems; probability distribution; stochastic system model; time series; Aerodynamics; Chaos; Control system analysis; Control system synthesis; Control systems; Extraterrestrial measurements; Feedback; Orbits; Power engineering and energy; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
0-7803-2685-7
Type :
conf
DOI :
10.1109/CDC.1995.478582
Filename :
478582
Link To Document :
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