摘要
讨论了不确定时滞系统迭代学习控制的鲁棒收敛性．在存在干扰和初始偏移的情形下，给出了较弱的收敛性充分条件．仿真结果表明，迭代学习控制算法对于抑制初始点偏移和周期干扰的影响是有效的．
In this paper, the robust convergence problem of iterative learning control algorithms for uncertain time-delay systems with respect to the existence of biased initial conditions and disturbances is investigated.The sufficient conditions which guarantee the uniform convergence of the learning controls are given. Finally,good tracking performance even in the presence of biased initial states and a periodic disturbance is obtained in the given simulation.
出处
《西安工业学院学报》
1997年第4期259-266,共8页
Journal of Xi'an Institute of Technology
基金
国家自然科学基金
关键词
鲁棒收敛性
迭代学习控制
不确定时滞系统
robust convergence initial condition problem iterative learning control uncertain timedelay systems
