无模型自适应控制方法综述

It is hard to obtain an applicable mathematical model for a complex plant. This motivates us to study the model-free adaptive control approache. The main feature of the approach is that the controller design depends merely on the input and the output measurement data of the controlled plant, which implies that we can develop a general controller for a class of the industrial practical processes independently. Under some practical assumptions, the monotonic convergence and BIBO stability can be guaranteed. The model-free adaptive control has been successfully implemented in many practical applications. In this paper, a brief review on the state of the art for the model-free adaptive control is presented. Some prospective research topics are also listed in this work.