线性联想存贮器在自动控制中的应用

Linear Associative Memory and Its Application to Autocontrol

简介线性联想存贮器的工作原理和实现方法 ,它们已应用于光通讯、谱分析、衍射光学、射电天文学、电子显微术等与信息处理、图像恢复或图像识别相关的近代光电子技术领域 .然而本文探讨该方法在自动控制建模中的应用是一种新的尝试 ,尤其对复杂对象的研究 .我们把它与神经网络法比较 ,发现在非线性对象的线性化过程中 ,它具有花时更省、精度更高和鲁棒性的特点 .也讨论计算机模拟实验 。

We simply introduce the principle of linear associative memory (LAM) and the method to realize it.Some types of LAM have been applied to contemporary photonic technology fields such as optical communication,spectroscopy,diffraction optics,radio astronomy,and electronic microscopy etc.,which are either related to information processing or image restoration or recognition. However it is a search how LAM be applied to modeling especially for complex plant in automatic control.It is discovered that LAM would take less time, but be higher precision and robust for the linearization of comlex nonlinear plants than the neural network (NN) method as we compared it with NN.The experiment of computer emulation is also proposed and the results are shown in figure.