自抑制神经元控制系统的参数设计方法及特性分析

Parameter Design Method and Performance Analysis of Self-inhibitionNeurons Control System

摘要:

在分析神经元控制模型的基础上,从控制理论角度,构建了自抑制神经元控制系统的方框图,推导了系统参数(T、τ、b、k)的设计条件,给出了参数设计曲线及取值表,推导了控制系统的单位响应函数、峰值时间tp、峰值和稳态值Mp。通过软件进行了仿真验证,并分析了各参数对系统性能的影响,结果发现,tp与τ呈现近似正相关的线性关系,与kb呈现出负相关的关系,Mp与T、kb呈现近似正相关的线性变化关系。完善了神经元模型设计理论和方法,对神经元控制系统设计具有指导意义。

Abstract:

Based on analysis of neurons control systems, a block diagram of self-inhibition neurons control system is built with control theory. The design condition of parameters (T, τ, b, k) is deduced and sheet of low limit values is proposed. Unit response function, peak time tp, peak Mp and steady-state output are provided, and their relationships with system parameters are analyzed. The simulation results show that tp is positively correlated with τ, but negatively correlated with (kb), and Mp is positively correlated with T and kb. The results are helpful for neuron control system design.