离散系统跟踪控制的学习算法及其收敛性

Learning Algorithm and Convergence of Tracking Control for Discrete Systems

本文针对一类不确定性离散系统状态跟踪控制问题进行了尝试性的探讨。采用不同于已有的方法，即将学习控制问题转化为一个下三角动力系统的平凡解全局稳定性问题，对所给的学习控制算法讨论了其收敛性，并获得了对系统理想状态跟踪的结果。

In this paper, a preliminary study on the state tracking control for uncertain discrete systems is carried out by means of a new method. In the method, the problem of learning control is converted into a global stability to trivial solution for lower triangular matrix dynamic systems. The convergence of the learning control algorithm is discussed and the result of tracking ideal state of the systems is obtained. [WT5”HZ〗