Specified-time containment tracking for multi-agent systems: An optimal control approach

Yongfang Liu, Yu Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

In this paper, for single-integrator multi-agent systems, specified-time containment tracking problem is studied under undirected topologies. By utilizing specified-time optimal control approaches, a class of novel containment tracking algorithms are proposed. In order to solve the containment control problem in a settling time specified in advance, a sampling time sequence, which converges to the specified time, is designed. During each time interval of the sampling time sequence, the proposed algorithm is used for single-integrator multi-agent systems. Thus, the proposed algorithm is a sampling-data-based specified-time containment tracking algorithm. Due to the settling time can be specified in advance, this algorithm is very meaningful and consistent with practical requirements. Finally, we propose a numerical simulation to show the effectiveness of the theoretical results.

Original languageEnglish
Title of host publicationProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2530-2534
Number of pages5
ISBN (Electronic)9781509046560
DOIs
StatePublished - 12 Jul 2017
Event29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, China
Duration: 28 May 201730 May 2017

Publication series

NameProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

Conference

Conference29th Chinese Control and Decision Conference, CCDC 2017
Country/TerritoryChina
CityChongqing
Period28/05/1730/05/17

Keywords

  • Multi-agent system
  • Optimal control
  • Sampling measurement
  • Specified-time containment

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