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Centralized Event-triggered Control for Linear Multi-agent Systems
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China..
Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China.;Fudan Univ, Ctr Computat Syst Biol, Shanghai 200433, Peoples R China..
Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China.;Fudan Univ, Sch Comp Sci, Shanghai 200433, Peoples R China..
2016 (English)In: PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), IEEE , 2016, p. 225-230Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we study the consensus problem of linear multi-agent systems. Centralized event-triggered rules are provided so as to reduce the frequency of system's updating. The diffusion coupling feedbacks of each agent are based on the latest observations from its in-neighbours and the system's next observation time is triggered by a criterion based on all agents' information. The scenario of continuous monitoring is first considered, namely all agents' instantaneous states can be observed. It is proved that if the network topology is connected, then this centralized event-triggered coupling strategy can realize consensus exponentially for the linear multi-agent systems. Then the results are extended to discontinuous monitoring, where the system computes its next triggering time in advance without having to observe all agents' states continuously. As a special case, we apply above results to double-integrator consensus problem. One example with numerical simulation are provided to show the effectiveness of the theoretical results.

Place, publisher, year, edition, pages
IEEE , 2016. p. 225-230
Series
Chinese Control and Decision Conference, ISSN 1948-9439
Keywords [en]
consensus, linear multi-agent systems, centralized event-triggered, centralized self-triggered
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-242735DOI: 10.1109/CCDC.2016.7530985ISI: 000383222300041Scopus ID: 2-s2.0-84983738616ISBN: 978-1-4673-9714-8 (print)OAI: oai:DiVA.org:kth-242735DiVA, id: diva2:1290010
Conference
28th Chinese Control and Decision Conference, MAY 28-30, 2016, Yinchuan, PEOPLES R CHINA
Note

QC 20190219

Available from: 2019-02-19 Created: 2019-02-19 Last updated: 2019-08-21Bibliographically approved

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Yi, Xinlei

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