论文部分内容阅读
利用迭代学习控制方法,研究了一类广义系统的状态跟踪问题.针对广义系统的分解形式,提出了一种新的迭代学习控制算法,该算法由部分D型算法和部分P型算法混合而成.给出了新算法的收敛条件,并从理论上对新算法进行了完整的收敛性分析.数值仿真结果说明了所提出的广义系统状态跟踪的迭代学习控制算法的有效性.
The iterative learning control method is used to study the state tracking problem for a class of generalized systems. A new iterative learning control algorithm is proposed for the decomposition of generalized systems. This algorithm consists of partial D-type algorithms and partial P-type algorithms The convergence condition of the new algorithm is given, and the complete convergence of the new algorithm is theoretically analyzed.The numerical simulation results show the effectiveness of the proposed iterative learning control algorithm for state tracking in generalized systems.