Event-triggered control for multi-agent network with limited digital communication
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  • 作者:Lan Gao ; Xiaofeng Liao ; Huaqing Li ; Guo Chen
  • 关键词:Distributed event triggering ; Multi ; agent network ; Limited communication ; One ; bit quantization
  • 刊名:Nonlinear Dynamics
  • 出版年:2015
  • 出版时间:December 2015
  • 年:2015
  • 卷:82
  • 期:4
  • 页码:1659-1669
  • 全文大小:1,016 KB
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  • 作者单位:Lan Gao (1)
    Xiaofeng Liao (2)
    Huaqing Li (2)
    Guo Chen (3)

    1. The College of Computer Science, Chongqing University, Chongqing, 400044, China
    2. The College of Electronics and Information Engineering, Southwest University, Chongqing, 400715, China
    3. School of Electrical and Information Engineering, The University of Sydney, Sydney, 2006, Australia
  • 刊物类别:Engineering
  • 刊物主题:Vibration, Dynamical Systems and Control
    Mechanics
    Mechanical Engineering
    Automotive and Aerospace Engineering and Traffic
  • 出版者:Springer Netherlands
  • ISSN:1573-269X
文摘
This paper considers the consensus problem of digital multi-agent networks by employing dynamic encode/decode technology and distributed event-triggered control strategy. In this paper, a novel integrated communication framework employing dynamic encode/decode technology and event-triggered control strategy is designed to describe the communication process in digital channels. According to this framework, a specific communication algorithm is provided in integrated communication environment. A distributed event-triggered condition that only depends on the local information of network agents is developed, and the relevant consensus analysis is given to explain the sufficiency and reasonability. Furthermore, a one-bit quantized scheme is proposed concomitantly, from which it is shown that the global consensus can still be reached though the number of bits that are responsible for information exchange between agents at each quantized transmission is only one bit. Finally, simulation results are given to verify the effectiveness of proposed approach and the correctness of theoretical results. Keywords Distributed event triggering Multi-agent network Limited communication One-bit quantization

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