Search

Article

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Parameter identification in chaotic systems by means of quantum particle swarm optimization

Zhang Hong-Li Song Li-Li

Parameter identification in chaotic systems by means of quantum particle swarm optimization

Zhang Hong-Li, Song Li-Li
PDF
Get Citation

(PLEASE TRANSLATE TO ENGLISH

BY GOOGLE TRANSLATE IF NEEDED.)

Metrics
  • Abstract views:  937
  • PDF Downloads:  1198
  • Cited By: 0
Publishing process
  • Received Date:  08 May 2013
  • Accepted Date:  11 June 2013
  • Published Online:  05 October 2013

Parameter identification in chaotic systems by means of quantum particle swarm optimization

  • 1. Xinjiang University, Department of Electrical Engineering, Urumqi Xinjiang 830047, China

Abstract: Aiming at the parameter identification problem in chaotic systems, we propose the quantum particle swarm optimization algorithm based on the swarm intelligence particle swarm optimization. The test functions show that the method has good global optimization. Then the method is applied to the parameter identification problem of the chaotic system. We transform the parameter identification problem into the optimization in the multi-dimensional function space. Through research on the balance board thermal convection in a typical chaotic Lorenz system, the proposed method has been compared with the basic algorithm and the genetic algorithm. Simulation results show that the proposed algorithm is effective, and is very important to the development of chaos theory.

Reference (15)

Catalog

    /

    返回文章
    返回