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基于单神经元自适应PSD算法用于混沌镇定控制
引用本文:李擎,郑德玲,杨林浩,鲁亿方.基于单神经元自适应PSD算法用于混沌镇定控制[J].北京科技大学学报,2001,23(5):481-484.
作者姓名:李擎  郑德玲  杨林浩  鲁亿方
作者单位:1. 北京科技大学信息工程学院
2. 邯郸钢铁集团公司
基金项目:国家自然科学基金;69772014;
摘    要:为了镇定混沌系统的不稳定周期轨道,提出了一种基于单神经元自适应PSD算法的状态延迟反馈法用于混沌的镇定控制。仿真结果表明,该算法不仅能够自适应地完成控制参数的整定过程,而且具有适用范围广、镇定时间短、抗干扰能力强等优点。

关 键 词:混沌  镇定  自适应  神经元  单神经元自适应PSD算法
修稿时间:2000年11月12日

Stabilization of Chaos by Self-adaptive PSD State-delayed Feedback Algorithm Based on Single Neuron
LI Qing,ZHENG Deling,YANG Linhao,LU Yifang l Information Engineering School,UST Beijing,Beijing ,China Handan Iron and steel Corporation. Handan ,China.Stabilization of Chaos by Self-adaptive PSD State-delayed Feedback Algorithm Based on Single Neuron[J].Journal of University of Science and Technology Beijing,2001,23(5):481-484.
Authors:LI Qing  ZHENG Deling  YANG Linhao  LU Yifang l Information Engineering School  UST Beijing  Beijing  China Handan Iron and steel Corporation Handan  China
Institution:LI Qing,ZHENG Deling,YANG Linhao,LU Yifang l) Information Engineering School,UST Beijing,Beijing 100083,China 2) Handan Iron and steel Corporation. Handan 056000,China
Abstract:In order to stabilize the unstable orbits of chaotic systems, a new intelligent control method, which is combined the state-delayed feedback PID algorithm with the adaptive PSD algorithm based on single neuron, is presented. When this method is used for the stabilization of chaos, the parameters of the control system is governed adaptively by way of the self-learning function of the neuron. The simulation results demonstrate that this method has many strongpoints for its wide range of application, short transition time of stabilization and strong anti-inference ability.
Keywords:chaos  stabilization  self-adaptive  neuron
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