Extended Disturbance-Observer-Based Data-Driven Control of Networked Nonlinear Systems with Event-Triggered Output

Mouquan Shen, Xianming Wang, Ju H. Park, Yang Yi, Wei Wei Che

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

This article is dedicated to data-driven control of networked nonlinear systems with event-triggered output. An improved extended state observer is constructed to estimate unknown disturbances. An output estimator is built on the triggered output and the estimated output. Consequently, triggering conditions for single-input single-output and multiple-inputs and multiple-outputs systems are individually proposed by integrating the estimated disturbances, the true and the estimated tracking errors. Sufficient conditions are established to guarantee that the resultant tracking error systems are uniformly ultimately bounded. The proposed strategies are verified by illustrative numerical examples.

Original languageEnglish
Pages (from-to)3129-3140
Number of pages12
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume53
Issue number5
DOIs
StatePublished - 1 May 2023

Keywords

  • Data-driven control (DDC)
  • dynamic linearization
  • event-triggered (ET) control

Fingerprint

Dive into the research topics of 'Extended Disturbance-Observer-Based Data-Driven Control of Networked Nonlinear Systems with Event-Triggered Output'. Together they form a unique fingerprint.

Cite this