Parameter estimation for chaotic system with initial random noises by particle swarm optimization

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This paper is concerned with the unknown parameters and time-delays of nonlinear chaotic systems with random initial noises. A scheme based on particle swarm optimization(PSO) is newly introduced to solve the problem via a nonnegative multi-modal nonlinear optimization, which finds a best combination of parameters and time-delays such that an objective function is minimized. The illustrative examples, in chaos systems with time-delays or free, are given to demonstrate the effectiveness of the present method. (C) 2009 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2009-10
Language
English
Article Type
Article
Keywords

TIME-DELAY; LAG SYNCHRONIZATION; IDENTIFICATION; FEEDBACK; MODEL

Citation

CHAOS SOLITONS FRACTALS, v.42, no.2, pp.1286 - 1291

ISSN
0960-0779
DOI
10.1016/j.chaos.2009.03.074
URI
http://hdl.handle.net/10203/96661
Appears in Collection
EE-Journal Papers(저널논문)
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