基于联想记忆系统的模型参数估计

Model Parameter Estimation Based on the Associative Memory System

摘要: 在离散泰勒级数型联想记忆系统(DTS-AMS)的基础上,提出了一种模型参数在线估计方法,为DTS-AMS在智能控制和信号处理领域中的应用提供了新的途径。数字仿真表明了该方法的可行性和有效性。

Abstract: A novel method of the on-line model parameter estimation using the associative memory system via discrete Taylor series (DTS-AMS) is proposed. It makes a new access to applying the DTS-AMS to intelligent control and signal processing. Its feasibility and effectiveness are shown by numerical simulation.