关联大系统的分散模型参考自适应控制

本文针对一类由相互关联的子系统组成的大规模互联系统，提出了一种新的分散鲁棒模型参考自适应控制方法。考虑各子系统存在有界扰动时的情况，为了增强系统的鲁棒性，改进了自适应控制结构；并且，采用大系统稳定性分析的分解－集结”方法，对整个关联大系统的全局稳定性进行了分析和证明。同有关文献相比较，本文的方法可用于参考模型输入和扰动为任意有界函数的情况。因而它更具有一般性和实用性。最后，利用MATLAB对一实际大系统进行了仿真。仿真结果表明，本文所提方案有效地增强了系统的鲁棒性、提高了系统性能

Decentralized Model Reference Adaptive Control of Interconnected Large Scale Systems

This paper presents a new decentralized robust model reference adaptive control algorithm for a class of large - scale systems consisting of N interconnected subsystems. The local adaptive control laws are modified to improve the robustness for bounded disturbances. The global stability of the overall system is analyzed with the decomposition - aggregation method. Compared with some other methods provided in the literature concerned, MRAC scheme in this paper can be applied inthe case of arbitrary bounded reference inputs and disturbances, Therefore, it is more practical. Through the use of MATLAB, a numerical exampleis to demonstrate the effectiveness of the proposed scheme.