Active Disturbance Rejection Control for Networked Switched Nonlinear Systems with Decentralized Event-Triggered Communication

Yiwen Qi, Simeng Zhang, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Uncertainty and disturbance are always the first issues to deal with in any networked system. Considering these factors, the active disturbance rejection control (ADRC) for networked switched systems (NSSs) with decentralized event-triggered communication was investigated in this study. This is the first time a comprehensive analysis and synthesis method for the ADRC of NSSs has been proposed. The technical contribution is mainly divided into two categories. On the one hand, a novel parameter-dependent switching constraint is proposed, which solves the problem of ADRC-based switching law construction and settles the complex coupling between switching, event-triggering, and ADRC components. On the other hand, triggering the output of linear extended state observer (LESO) rather than its input can result in a more accurate estimation, while reasonably configuring network resources. Accordingly, a new tight bound of the high gain adjustment parameter of the observer was obtained. In addition, the stability analysis and state convergence region calculations for switched ADRC systems are given. Finally, the effectiveness of the proposal is demonstrated by simulation.

Original languageEnglish
Pages (from-to)3553-3565
Number of pages13
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume53
Issue number6
DOIs
Publication statusPublished - 2023 Jun 1

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

  • ADRC-based switching law
  • Active disturbance rejection control (ADRC)
  • linear extended state observer (LESO)-based event-triggering scheme
  • networked switched systems (NSSs)

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

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