一、前言 在一些用于自动化过程的数学模型中,往往含有某些参数,这些参数随过程的进行,常常会有些变动,如不随时修改,就会使模型偏离实际过程而无法应用。实际上,数学模型中的参数一般有两种,一种是在一个时期内可认为是不变的静态参数;另一种是随时间推移需要随时修改的动态参数。这种随时修改就是所说的自适应跟踪。本文对一种常用的自适应算法的理论依据提出我们的看法,同时提出模型参数动态修正的几个较简 I. INTRODUCTION In some mathematical models used in the automation process, some parameters are often contained. These parameters often change with the progress of the process. If not modified at any time, the model will deviate from the actual process and can not be applied. In fact, there are generally two kinds of parameters in the mathematical model, one is a static parameter that can be regarded as invariable for a period of time and the other one is a dynamic parameter that needs to be modified over time. This at any time to amend the so-called adaptive tracking. In this paper, we put forward our opinion on the theoretical basis of a commonly used adaptive algorithm, and at the same time propose some simpler methods for dynamic correction of model parameters