Robust Adaptive Fuzzy Tracking Control of Stochastic Neuron Systems

摘要：

Nerve cells communicate by generating and transmitting action potentials. Annihilation of neural oscillation by functional electrical stimulation is a promising treatment modality in neural diseases. In this paper, a robust adaptive fuzzy tracking control is proposed for stochastic Hodgkin-Huxley (HH) neuron systems to generate a desired reference response in spite of environmental noises, uncertain initial values, and diffusion currents from other interconnected nerve cells. The robust adaptive fuzzy tracking control scheme can provide new methods for desired action potential generation, suppression of oscillations with a single compartment nerve cell model, and blockage of action potential transmission with a multi-compartment nerve fiber model under environmental noise and diffusion currents.

关键词： Neuron System Tracking Control Stochastic Robust

作者: Huiyan Li Jiang Wang Qitao Jin Bin Deng Xile Wei Yanqiu Che

作者单位: Tianjin University of Technology and Education, Tianjin, 300222, China Tianjin University, Tianjin, 300072, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 497-500

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）