Distributed data-driven tracking control for networked nonlinear MIMO multi-agent systems subject to communication delays

Ji Zhang, Sen Chun Chai*, Bai Hai Zhang, Guo Ping Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

This article addresses the tracking control issue of networked nonlinear MIMO multi-agent systems under random delay. Since the model of nonlinear system is difficult to be obtained accurately, a data-driven control strategy called model-free adaptive control method is introduced, which only needs the information of input and output data. Based on the above approach and the networked delay compensation technique, a data-based delay compensation tracking control scheme is proposed. And the sufficient condition for the asymptotic stability is given. The proposed method can achieve a good tracking performance, and actively compensate the networked-induced delay. The feasibility of the proposed method is validated through numerical simulations.

Original languageEnglish
Pages (from-to)62-70
Number of pages9
JournalNeurocomputing
Volume425
DOIs
Publication statusPublished - 15 Feb 2021

Keywords

  • Distributed data-driven control
  • Networked nonlinear MIMO multi-agent system
  • Random delay
  • Tracking control

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