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Directing orbits of chaotic systems by particle swarm optimization
Liu, B ; Wang, L ; Tang, F ; Huang, D
2010-05-06 ; 2010-05-06
关键词CHANNEL TIME-DELAY ADAPTIVE SYNCHRONIZATION DYNAMICAL-SYSTEMS NEURAL-NETWORKS Mathematics, Interdisciplinary Applications Physics, Multidisciplinary Physics, Mathematical
中文摘要This paper applies a novel evolutionary computation algorithm named particle swarm optimization (PSO) to direct the orbits of discrete chaotic dynamical systems towards desired target region within a short time by adding only small bounded perturbations, which could be formulated as a multi-modal numerical optimization problem with high dimension. Moreover, the synchronization of chaotic systems is also studied, which can be dealt with as an online problem of directing orbits. Numerical simulations based on Henon Map demonstrate the effectiveness and efficiency of PSO, and the effects of some parameters are also investigated. (c) 2005 Elsevier Ltd. All rights reserved.
语种英语 ; 英语
出版者PERGAMON-ELSEVIER SCIENCE LTD ; OXFORD ; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/9667]  
专题清华大学
推荐引用方式
GB/T 7714
Liu, B,Wang, L,Tang, F,et al. Directing orbits of chaotic systems by particle swarm optimization[J],2010, 2010.
APA Liu, B,Wang, L,Tang, F,&Huang, D.(2010).Directing orbits of chaotic systems by particle swarm optimization..
MLA Liu, B,et al."Directing orbits of chaotic systems by particle swarm optimization".(2010).
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