一类具有输入时滞的线性系统PD型迭代学习控制算法

PD-type Iterative Learning Control for a Class of Linear Systems with Input-delay

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.