%0 Journal Article
%T PD
%A Guangzhao Xu
%A Jianrong Wu
%A Lili Du
%A Pengfei Yu
%A Qin Fu
%J Transactions of the Institute of Measurement and Control
%@ 1477-0369
%D 2019
%R 10.1177/0142331218804299
%X This article investigates the iterative learning control problem for linear continuous systems with fixed initial shifts. The systems have arbitrary relative degree and PD-type learning schemes are proposed. Under the effect of the PD-type learning schemes, the output-limiting trajectory is constructed. Based on the contraction mapping method, we show that the schemes can guarantee that the output of the iterative system converges uniformly to the output-limiting trajectory on the finite-time interval as the iteration index tends to infinity. A simulation example is used to illustrate the effectiveness of the proposed method
%K Arbitrary relative degree
%K fixed initial shifts
%K iterative learning control
%K output-limiting trajectory
%K PD-type learning schemes
%U https://journals.sagepub.com/doi/full/10.1177/0142331218804299