最小控制综合算法综述

Survey on Minimal Control Synthesis Algorithm

文中对最小控制综合算法的原理和应用进行了总结综述;首先针对模型参考自适应控制存在的问题阐述了最小控制综合算法的标准算法的原理,介绍了标准算法在应用中的优点及最小控制综合辨识算法、分散最小控制综合算法、扩展最小控制综合算法、基于误差的最小控制综合算法等多种改进算法;然后就目前关键领域的研究应用状况进行论述;最后展望了该算法在今后研究中拟解决的关键问题。

This paper summarizes and overviews the principle and application of minimal control synthesis （MCS） algorithm. The prin- ciple of standard MCS is described based on the defects of MRAC. The paper introduce the advantages of MCS in application and some modi- fied algorithms, such as MCS identification algorithm, decentralized MCS algorithm, extended MCS algorithm, the error--based MCS with integral action algorithm, and so on, and then overview the application in many key fields. Finally the future development direction of the al- gorithm is discussed.