摘要
针对线性多时滞系统讨论了开闭环PID型迭代学习控制算法的收敛性和鲁棒性0利用λ范数和Bellman-Gronwall定理,获得了算法收敛的判定条件.仿真结果表明,这种算法是有效的.同时,从仿真实例也可看出,在收敛速度方面,开闭环算法优于开环算法.
In this paper an open-closed-loop PlD-type learning algorithm is studied for iterative learning control systems with multiple time-delays. By using λ -norm and Bellman-Gronwall theorem, it obtains the convergence and robustness of the control algorithm. Finally, a numerical simulation is given to show the algorithm＇s efficiency, and the numerical examples show that the open-closed-loop algorithm is better than the open-loop algorithm in terms of the convergent speed.
出处
《西南民族大学学报（自然科学版）》
CAS
2008年第4期637-643,共7页
Journal of Southwest Minzu University(Natural Science Edition)
关键词
初始条件问题
迭代学习控制
时滞系统
鲁棒性
开闭环算法
initial condition problem
iterative learning control
time-delay system
robustness
open-closed-loop algorithm
