Optimal targeting of nonlinear chaotic systems using a novel evolutionary computing strategy
文献类型：期刊论文
| 作者 | Wang, Yudong1; Feng, Xiaoyi2; Lyu, Xin2; Li, Zhengyang2; Liu, Bo2
|
| 刊名 | KNOWLEDGE-BASED SYSTEMS
 |
| 出版日期 | 2016-09-01 |
| 卷号 | 107页码:261-270 |
| 关键词 | Chaos control Chaotic dynamics Optimization Computational intelligence Teaching-learning-based optimization |
| ISSN号 | 0950-7051 |
| DOI | 10.1016/j.knosys.2016.06.019 |
| 英文摘要 | Control of chaotic systems to given targets is a subject of substantial and well-developed research issue in nonlinear science, which can be formulated as a class of multi-modal constrained numerical optimization problem with multi-dimensional decision variables. This investigation elucidates the feasibility of applying a novel population-based metaheuristics labeled here as Teaching-learning-based optimization to direct the orbits of discrete chaotic dynamical systems towards the desired target region. Several consecutive control steps of small bounded perturbations are made in the Teaching-learning-based optimization strategy to direct the chaotic series towards the optimal neighborhood of the desired target rapidly, where a conventional controller is effective for chaos control. Working with the dynamics of the well-known Henan as well as Ushio discrete chaotic systems, we assess the effectiveness and efficiency of the Teaching-learning-based optimization based optimal control technique, meanwhile the impacts of the core parameters on performances are also discussed. Furthermore, possible engineering applications of directing chaotic orbits are discussed. (C) 2016 Elsevier B.V. All rights reserved. |
| 资助项目 | National Natural Science Foundation of China[71101139] ; National Natural Science Foundation of China[71390331] ; National Natural Science Foundation of China[11272062] ; National Science Fund for Distinguished Young Scholars of China[61525304] ; Defense Industrial Technology Development Program |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000380595900020 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/23457]  |
| 专题 | 系统科学研究所 |
| 通讯作者 | Liu, Bo |
| 作者单位 | 1.Sci & Technol Space Phys Lab, Beijing, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yudong,Feng, Xiaoyi,Lyu, Xin,et al. Optimal targeting of nonlinear chaotic systems using a novel evolutionary computing strategy[J]. KNOWLEDGE-BASED SYSTEMS,2016,107:261-270. |
| APA | Wang, Yudong,Feng, Xiaoyi,Lyu, Xin,Li, Zhengyang,&Liu, Bo.(2016).Optimal targeting of nonlinear chaotic systems using a novel evolutionary computing strategy.KNOWLEDGE-BASED SYSTEMS,107,261-270. |
| MLA | Wang, Yudong,et al."Optimal targeting of nonlinear chaotic systems using a novel evolutionary computing strategy".KNOWLEDGE-BASED SYSTEMS 107(2016):261-270. |
入库方式： OAI收割
来源：数学与系统科学研究院
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