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      Event-Triggered Consensus Control for Leader-Following Multiagent Systems Using Output Feedback

      Author(s): 1 , 2 , 1
      Publication date Created:
      Publication date (Print):
      Journal: Complexity
      Publisher: Hindawi Limited

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          Abstract

          The event-triggered consensus control for leader-following multiagent systems subjected to external disturbances is investigated, by using the output feedback. In particular, a novel distributed event-triggered protocol is proposed by adopting dynamic observers to estimate the internal state information based on the measurable output signal. It is shown that under the developed observer-based event-triggered protocol, multiple agents will reach consensus with the desired disturbance attenuation ability and meanwhile exhibit no Zeno behaviors. Finally, a simulation is presented to verify the obtained results.

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          Distributed robust consensus control in directed networks of agents with time-delay

          Peng Lin, Yingmin Jia, Lin Li (2008)
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            Event-Triggering Sampling Based Leader-Following Consensus in Second-Order Multi-Agent Systems

            Xiaofeng Liao, Tingwen Huang, Wei Zhu … (2015)
            Article 0 comments Cited 39 times – based on 0 reviews     Review now
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              Event-Triggered Schemes on Leader-Following Consensus of General Linear Multiagent Systems Under Different Topologies.

              Wenying Xu, Daniel Ho, Lulu Li … (2017)
              This paper investigates the leader-following consensus for multiagent systems with general linear dynamics by means of event-triggered scheme (ETS). We propose three types of schemes, namely, distributed ETS (distributed-ETS), centralized ETS (centralized-ETS), and clustered ETS (clustered-ETS) for different network topologies. All these schemes guarantee that all followers can track the leader eventually. It should be emphasized that all event-triggered protocols in this paper depend on local information and their executions are distributed. Moreover, it is shown that such event-triggered mechanism can significantly reduce the frequency of control's update. Further, positive inner-event time intervals are assured for those cases of distributed-ETS, centralized-ETS, and clustered-ETS. In addition, two methods are proposed to avoid continuous communication between agents for event detection. Finally, numerical examples are provided to illustrate the effectiveness of the ETSs.
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                Author and article information

                Journal
                Title: Complexity
                Abbreviated Title: Complexity
                Publisher: Hindawi Limited
                ISSN (Print): 1076-2787
                ISSN (Electronic): 1099-0526
                Publication date Created: August 15 2018
                Publication date (Print): August 15 2018
                Volume: 2018
                Pages: 1-9
                Affiliations
                [1 ]School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
                [2 ]The Seventh Research Division, Beihang University, Beijing 100191, China
                Article
                DOI: 10.1155/2018/6342683
                SO-VID: 8e521a7a-7e3c-4025-b0e1-56c900ef2f4b
                Copyright © © 2018
                License:

                http://creativecommons.org/licenses/by/4.0/

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