Output-Based Periodic Event-Triggered Control for Nonlinear Plants: An Approximate-Model Method

Hao Yu*, Tongwen Chen, Fei Hao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

This article studies periodic event-triggered control for nonlinear systems with multiple outputs and disturbances. First, an approximate-model method is introduced to discretize nonlinear plants with a family of controllers parameterized by verification periods. Then, a novel summation-based event-triggering condition is designed to ensure input-to-state practical stability of closed-loop systems. It is shown that the proposed event-triggering condition can admit a positive lower bound of interevent times for a family of controllers. Furthermore, an improved event-triggering condition is given to maximize the ranges of allowable parameters. Finally, numerical simulations are provided to illustrate the efficiency and feasibility of the obtained results.

Original languageEnglish
Article number9013057
Pages (from-to)1342-1354
Number of pages13
JournalIEEE Transactions on Control of Network Systems
Volume7
Issue number3
DOIs
Publication statusPublished - Sept 2020
Externally publishedYes

Keywords

  • Approximate-model methods
  • event-triggered control
  • nonlinear systems
  • output feedbacks

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