Dynamic Event-Triggered Impulsive Control for Stochastic Nonlinear Systems With Extension in Complex Networks

Haihua Guo, Jian Liu, Choon Ki Ahn, Yongbao Wu, Wenxue Li

Research output: Contribution to journalArticlepeer-review

Abstract

This study proposes a novel dynamic event-triggered impulsive control (ETIC) scheme to study the exponential stabilization of general stochastic nonlinear systems, where the impulsive sequence is determined by a dynamic event-triggered mechanism. The dynamic ETIC can effectively reduce controller updates and significantly save energy under the same decay rate compared to traditional static event-triggered impulsive generators. Additionally, there is a guaranteed positive minimum inter-event time for each sample path solution of systems. Furthermore, the proposed dynamic ETIC scheme is employed to stabilize stochastic complex networks based on the graph theory and the Lyapunov method. Finally, we provide two illustrative examples to verify the effectiveness and correctness of the proposed dynamic ETIC scheme.

Original languageEnglish
Pages (from-to)2167-2178
Number of pages12
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume69
Issue number5
DOIs
Publication statusPublished - 2022 May 1

Keywords

  • Dynamic event-triggered impulsive control
  • complex networks
  • exponential stability
  • stochastic nonlinear system

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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