回顾了无模型控制以及无模型自适应控制(MFAC)产生的历史, 以及20世纪90年代初国内外关于无模型控制方法研究的一些重要文章;论述了MFAC的概念,方法,以及与其它的主流控制方法之间的差异;指出了非线性系统的动态线性化 方法是数据驱动的MFAC, 数据驱动的自适应迭代学习控制以及数据驱动的迭代学习控制方法的基础工具;最后,简要总结和展望了MFAC可能的未来研究话题.

A short early history and a few important papers published in 90s of the 20st century on the model-free control and the model-free adaptive control (MFAC) are presented, and the difference between MFAC and other mainstream control meth- ods is also emphasized in this paper. After a brief introduction on the MFAC, it is poined that the dynamic linearization method for the discrete time nonlinear sys- tems is also a fundamental tool for the control system design of the data-drivenMFAC based on the controller-dynamic- linearization, the data-driven iterative learning con- trol and the data-driven model-free adaptive iterative learning control. The last are the short summary and prospective research topics on MFAC.