Controlling Chaos in Neuron Based on Lasalle Invariance Principle

• 作者: 覃英华 韦笃取
• 来源期刊: 理论物理通讯：英文版
• 学科: 工学
• 关键词: 神经元 不变性原理 混沌控制 拉萨 系统动力学分析 人类大脑 神经系统 控制技术
• 年，卷（期）: 2011,（9）
• 页码范围: 459-462
• 页数: 4页
• 分类号: TP18|TM722
• 语种: 英文

摘要

A new control law is proposed to asymptotically stabilize the chaotic neuron system based on LaSalle invariant principle. The control technique does not require analytical knowledge of the system dynamics and operates without an explicit knowledge of the desired steady-state position. The well-known modified Hodgkin-Huxley （MHH） and Hindmarsh-Rose （HR） model neurons are taken as examples to verify the implementation of our method. Simulation results show the proposed control law is effective. The outcome of this study is significant since it is helpful to understand the learning process of a human brain towards the information processing, memory and abnormal discharge of the brain neurons.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	韦笃取		29	121	4.0	10.0
2	覃英华		7	7	2.0	2.0