Event-Triggered Dissipative Tracking Control of Networked Control Systems With Distributed Communication Delay

Zhou Gu, Shen Yan, Choon Ki Ahn, Dong Yue, Xiangpeng Xie

Research output: Contribution to journalArticlepeer-review

Abstract

This article presents the design of an event-trigger-based networked robust dissipative tracking control systems. An event-triggered mechanism (ETM) is proposed by introducing the probability density distribution of communication delay. Thus, it can yield less conservative results. The tracking error system is transferred by a distributed communication delay system wherein the delay probability density is viewed as the kernel of the distributed delay. The threshold of the proposed ETM is designed as a dynamic parameter to adapt the transmission of the control signal. By applying the Lyapunov method, sufficient conditions are achieved to ensure the stability of the tracking error system with strictly dissipative performance, which includes <formula><tex>$H_{\infty }$</tex></formula> performance and passive performance. Based on the dissipativity analysis condition, a co-design method with both tracking control and the ETM is derived in a united framework. Experiments on networked dc motor tracking system are provided to show the effectiveness of the presented method.

Original languageEnglish
JournalIEEE Systems Journal
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Cyber-physical systems
  • dc motor tracking system
  • DC motors
  • Delays
  • distributed communication delay
  • event-triggered mechanism
  • Networked control systems
  • Power system dynamics
  • Probability density function
  • Protocols
  • Vehicle dynamics

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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