Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4948005 | Neurocomputing | 2017 | 7 Pages |
Abstract
The purpose of this paper is to discuss the tracking problem of coupled continuous networks by applying the discontinuous iterative learning control (ILC) method. Two discontinuous ILC schemes with impulsive and zero-order hold (ZOH) sampled-data are introduced because of considering the instantaneous perturbations and the difficulties of measuring the continuous information transmission. Then, some criteria are then proposed to resolve the tracking problem of continuous networks in a finite interval by using the Bellman-Gronwall Lemma. Finally, simulation results are shown to illustrate the effectiveness of the obtained criteria.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wenjun Xiong, Wei Xing Zheng, Jinde Cao,