摘要
本文针对一类时滞非线性系统提出一种采样迭代学习控制算法,严格证明了该算法的指数收敛性.当系统满足所给出的条件时,跟踪误差以指数速率收敛至一个与采样周期有关的误差范围内.
A sampled-data iterative learning control algorithm is proposed for a class of nonlinear continuous-time systems with state delay. A sufficient condition for the exponential convergence of the proposed control algorithm is presented. The actual output exponentially converges to a neighborhood of the desired output in the entire time span. The neighborhood is small enough if the sampling period is small enough.
出处
《系统科学与数学》
CSCD
北大核心
2004年第4期564-570,共7页
Journal of Systems Science and Mathematical Sciences
基金
国家质量监督检验检疫局科研基金Y00A02资助课题.
