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基于粒子群算法的混沌系统快速控制
引用本文:车林仙.基于粒子群算法的混沌系统快速控制[J].泸州职业技术学院学报,2006(3).
作者姓名:车林仙
作者单位:泸州职业技术学院机电工程系 四川泸州646005
基金项目:泸州职业技术学院科研基金资助项目(K-05002),泸州职业技术学院机电工程系科技创新基金资助项目(06A01)。
摘    要:对混沌系统施加微小扰动,使其自某初始点快速到达给定的不动点(目标点)邻域内,从而实现对混沌系统的快速控制。给出了求解混沌系统扰动序列值的无约束优化模型,并应用粒子群算法求解此优化问题。该算法不需要初值和导数信息,并具有控制参数少、容易实现等优点。数字实例表明,对于混沌系统快速控制问题,粒子群算法能求出满足要求的多组扰动序列值,且收敛速度较快、精度较高。

关 键 词:混沌  控制  粒子群算法

Rapidly Controlling Chaos Systems Based on Particle Swarm Optimization
Che Linxian.Rapidly Controlling Chaos Systems Based on Particle Swarm Optimization[J].Journal of Luzhou Vocational Technical College,2006(3).
Authors:Che Linxian
Abstract:The chaos system is affected by a tiny perturbation, let it reaches rapidly from a certain given pri mary point to the required nearby zone of stationary point (target point), in order to achieve the goal of quickening the chaos control. The unconstrained optimization model for solving orderly perturba- tions is presented. And then, the particle swarm optimization (PSO) algorithm is used for solving the optimization problem. The advantages of the PSO algorithm are that there are few parameters to adjust and it has been easily accomplished. Numerical results for the problem of quickening chaos systems control the show that several orderly perturbations can be obtained by using the PSO algo- rithm and this algorithm possesses the performances of rather quick convergence speed and high precision.
Keywords:Chaos Control Particle swarm optimization
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