摘要：In this paper, we provide uniform design and analysis framework for iterative learning control of a class of impulsive first-order distributed parameter systems in the time domain. In particular, P-type and D-type iterative learning controls with initial state learning are considered. We present convergence results for open-loop iterative learning schemes in the sense of the L p $L^{p}$ -norm and λ-norm, respectively. Finally, an example is given to illustrate our theoretical results.
关键词：iterative learning control ; impulsive ; first-order distributed parameter systems ; initial state learning
