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本文研究了离散大系统存在未模化动力学时的分散模型参考自适应控制问题。对以状态变量和输入-输出变量设计的自适应系统,得到了复合闭环系统的所有信号及跟踪误差将收敛并保持在一有界集的充分条件。
In this paper, we study the decentralized model reference adaptive control problem in the presence of unmodeled dynamics for discrete large-scale systems. For the adaptive system designed with state variables and input - output variables, the sufficient conditions for all signals and tracking error of the closed-loop system to converge and remain in a bounded set are obtained.