Containment Control of Linear Multiagent Systems with Stochastic Disturbances via Event-Triggered Strategies

Wencheng Zou, Yueying Huang, Choon Ki Ahn, Zhengrong Xiang

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this article, we investigate the event-triggered containment control problem for a class of multiagent systems, where agents are described by higher-order linear dynamics subject to stochastic disturbances. In event-triggered control scenarios, the control action is updated when a specified error reaches a given threshold. Due to the existence of stochastic factors, the given threshold may be reached in an any short time interval, which makes it hard to avoid Zeno behavior. In view of this, we propose two novel event-triggered containment control schemes for the underlying multiagent systems with stochastic disturbances. Using the stochastic control theory, graph theory, and Lyapunov functional method, it is proven that the followers' states can almost surely converge to the convex hull spanned by the leaders' states. It is noted that the continuous communications among agents are not required and each agent's inter-event intervals are lower-bounded by a positive constant. As such, the proposed control schemes are both practical and implementable. Finally, a numerical example is presented to illustrate the developed schemes' effectiveness.

Original languageEnglish
Article number9044432
Pages (from-to)4810-4819
Number of pages10
JournalIEEE Systems Journal
Volume14
Issue number4
DOIs
Publication statusPublished - 2020 Dec

Keywords

  • Containment control
  • event-triggered control
  • multiagent systems
  • stochastic disturbances
  • Zeno behavior

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Containment Control of Linear Multiagent Systems with Stochastic Disturbances via Event-Triggered Strategies'. Together they form a unique fingerprint.

Cite this