Tracking analysis of coupled continuous networks based on discontinuous iterative learning control

Wenjun Xiong, Wei Xing Zheng, Jinde Gao

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)137-143
Number of pages7
JournalNeurocomputing
Volume222
DOIs
Publication statusPublished - 26 Jan 2017

Bibliographical note

Publisher Copyright:
© 2016 Elsevier B.V.

Keywords

  • computer systems
  • intelligent control systems

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