Parameter estimation of Lorenz chaotic system using a hybrid swarm intelligence algorithm
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- 作者：Juan A. Lazzú ; s ; jlazzus@dfuls.cl" class="auth_mail" title="E-mail the corresponding author ; Marco Rivera ; Carlos H. Ló ; pez-Caraballo
- 关键词：Chaotic systems ; Parameter estimation ; Particle swarm optimization ; Ant colony optimization
- 刊名：Physics Letters A
- 出版年：2016
- 出版时间：11 March 2016
- 年：2016
- 卷：380
- 期：11-12
- 页码：1164-1171
- 全文大小：452 K
文摘
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PSO–ACO combined particle swarm optimization with ant colony optimization.
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This study is the first research of PSO–ACO to estimate parameters of chaotic systems.
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PSO–ACO algorithm can identify the parameters of the three-dimensional Lorenz system with low deviations.
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PSO–ACO is a very powerful tool for the parameter estimation on other chaotic system.