Event-Triggered Control of Multiagent Systems for Fixed and Time-Varying Network Topologies

Teng-Hu Cheng*, Zhen Kan, Justin R. Klotz, John M. Shea, Warren E. Dixon

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

107 Scopus citations

Abstract

A decentralized controller that uses event-triggered communication scheduling is developed for the leader-follower consensus problem under fixed and switching communication topologies. To eliminate continuous interagent communication, state estimates of neighboring agents are designed for control feedback and are updated via communication to reset growing estimate errors. The communication times are based on an event-triggered approach and are adapted based on the trade-off between the control system performance and the desire to minimize the amount of communication. An important aspect of the developed event trigger strategy is that communication is not required to determine when a state update is needed. Since the control strategy produces switched dynamics, analysis is provided to show that Zeno behavior is avoided by developing a positive constant lower bound on the minimum inter-event interval. A Lyapunov-based convergence analysis is also provided to indicate bounded convergence of the developed control methodology.

Original languageEnglish
Article number7898365
Pages (from-to)5365-5371
Number of pages7
JournalIEEE Transactions on Automatic Control
Volume62
Issue number10
DOIs
StatePublished - 1 Oct 2017

Keywords

  • Event-triggered control
  • limited communication
  • multi-agent systems
  • networked control
  • systems switching topologies

Fingerprint Dive into the research topics of 'Event-Triggered Control of Multiagent Systems for Fixed and Time-Varying Network Topologies'. Together they form a unique fingerprint.

Cite this