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Distributed Consensus Design for a Class of Uncertain Linear Multiagent Systems under Unbalanced Randomly Switching Directed Topologies

Mathematical problems in engineering, 2018-01, Vol.2018, p.1-7 [Peer Reviewed Journal]

Copyright © 2018 Dinh Hoa Nguyen. ;COPYRIGHT 2018 Hindawi Limited ;Copyright © 2018 Dinh Hoa Nguyen. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1024-123X ;EISSN: 1563-5147 ;DOI: 10.1155/2018/8081264

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  • Title:
    Distributed Consensus Design for a Class of Uncertain Linear Multiagent Systems under Unbalanced Randomly Switching Directed Topologies
  • Author: Nguyen, Dinh Hoa
  • Vázquez, Carlos-Renato ; Carlos-Renato Vázquez
  • Subjects: Algorithms ; Communication ; Controllers ; Dynamical systems ; Eigen values ; Linear systems ; Mathematical models ; Multiagent systems ; Switching ; Topology ; Uncertainty
  • Is Part Of: Mathematical problems in engineering, 2018-01, Vol.2018, p.1-7
  • Description: This paper proposes a novel approach to design fully distributed consensus controllers for heterogeneous linear Multiagent Systems subjected to randomly switching directed topologies and model uncertainties. The appealing features of this approach are as follows. First, it uses the mildest assumption for the randomly switching topologies that the union of switched graphs has a spanning tree. Second, the consensus is achieved under a class of state multiplicative uncertainties. Moreover, the proposed consensus controllers are low-rank and have nonconservative coupling strengths. Finally, a numerical example is presented to illustrate the effectiveness of the proposed theoretical approach.
  • Publisher: New York: Hindawi
  • Language: English
  • Identifier: ISSN: 1024-123X
    EISSN: 1563-5147
    DOI: 10.1155/2018/8081264
  • Source: AUTh Library subscriptions: ProQuest Central
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