摘要
针对具有输入时滞的系统,为获得更为理想的跟踪性能,提出了一种PD型迭代学习控制算法;借助范数和Bellman-Gronwall引理,证明了算法的收敛性;仿真结果表明,所提算法能较好地解决具有输入时滞系统的跟踪控制问题,加快迭代算法的收敛速度。
For a class of linear systems with input-delay, PD-type iterative learning control algorithm is presented in order to improve trajectory trace property. Convergence of the algorithm is proved by means of-norm and Bellman-Gronwall lemma. Simulation results show that the algorithm can be used to solve the trajectory tracing problem for a class of systems with input-delay and the convergence of the iteration is much faster than the existing D-type iterative learning control algorithm.
出处
《南通职业大学学报》
2009年第4期62-65,共4页
Journal of Nantong Vocational University
关键词
时滞系统
输入时滞
迭代学习控制
Time-delay System
Input-delay
Iterative Learning Control
