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Second-order consensus for nonlinear leader-following multi-agent systems with sampled-data information

Haibo Du, Yingying Cheng, Chaojie Li

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

The consensus problem for a class of second-order nonlinear leader-following multi-agent systems only using sampled-data information is investigated in this paper. First, we design a continuous-time controller by integrating the graph theory and Lyapunov design methods together. Then, the explicit formula for the maximum allowable sampling period is computed such that the discretized controller will guarantee global stability of the closed-loop system. Using the sampled-data feedback domination technique, it is shown that the systems states can reach consensus by choosing appropriate gain and sampling period. An example is given to verify the efficiency of the proposed method. © 2015 Technical Committee on Control Theory, Chinese Association of Automation.
Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control Conference, CCC 2015
PublisherIEEE Computer Society
Pages7178-7183
Volume2015-September
ISBN (Print)9789881563897
DOIs
Publication statusPublished - 11 Sept 2015
Externally publishedYes
Event34th Chinese Control Conference, CCC 2015 - Hangzhou, China
Duration: 28 Jul 201530 Jul 2015

Publication series

NameChinese Control Conference, CCC
Volume2015-September
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference34th Chinese Control Conference, CCC 2015
PlaceChina
CityHangzhou
Period28/07/1530/07/15

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 <a href="mailto:[email protected]">[email protected]</a>.

Funding

This work is supported by the Natural Science Foundation of China (61304007), Ph.D. Programs Foundation of Ministry of Education of China (20130111120007), and the China Postdoctoral Science Foundation Funded Project (2014T70584).

Research Keywords

  • Consensus
  • Multi-agent systems
  • Nonlinear systems
  • Sampled-data control

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