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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