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Asynchronous impulsive containment control in switched multi-agent systems

  • Chaojie Li
  • , Xinghuo Yu
  • , Zhi-Wei Liu
  • , Tingwen Huang

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

A novel impulsive containment control is derived for multi-agent systems with the switching behavior and time delay, where an asynchronous impulsive control formulation is introduced in a distributed synthesis. Containment control criterion is established by using multiple Lyapunov functions and the Razumikhin technique in terms of mathematical induction. The relationship between impulsive control and the average dwell time is presented and thus can serve as a tool to design an impulsive containment controller. Unlike traditional impulsive control strategies, the proposed methodology does not require time instants of impulsive control to simultaneously occur with switching signals, which significantly leads to a less conservativeness of the designed impulsive controller to handle the switched system. Finally, the effectiveness of the proposed method is verified by a simulation example. © 2016 Elsevier Inc.
Original languageEnglish
Pages (from-to)667-679
JournalInformation Sciences
Volume370-371
DOIs
Publication statusPublished - 20 Nov 2016
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was supported by the Australian Research Council (Nos. DP130104765, DP140100544), the National Natural Science Foundation of China under grants (No. 61304152) and the open fund of Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education (No. MCCSE2015A02).

Research Keywords

  • Asynchronous containment control
  • Mathematical induction method
  • Multiple Lyapunov functions
  • Razumikhin technique
  • Switched multi-agent system

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