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Weighted Average Consensus in Directed Networks of Multi-agents with Time-Varying Delay

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Neural Computing for Advanced Applications (NCAA 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1449))

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Abstract

In this paper, we discuss the weighted average consensus problem of multi-agent system in directed networks with fixed topology and time-varying communication delay. By employing the method of linear matrix inequality and constructing a Lyapunov function, we analyze the convergence of the directed network, and get the maximum allowable upper bound of time-varying delay. Finally, the simulation of the fixed topology of multi-agent directed network is carried out to verify the theoretical results.

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Acknowledgements

This work was fund by the Science and Technology Development Fund, Macau SAR (File no. 0050/2020/A1).

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Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Jiangsu, 211100, China

    Xiang Li & Jing Zhu

  2. Institute of Systems Engineering, Macau University of Science and Technology, Macau, China

    Jing Zhu

Authors
  1. Xiang Li
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  2. Jing Zhu
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Corresponding author

Correspondence to Jing Zhu .

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Editors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Haijun Zhang

  2. Nanfang College of Sun Yat-sen University, Guangzhou, China

    Zhi Yang

  3. Hefei University of Technology, Hefei, China

    Zhao Zhang

  4. Chongqing University, Chongqing, China

    Zhou Wu

  5. South China Normal University, Guangzhou, China

    Tianyong Hao

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Li, X., Zhu, J. (2021). Weighted Average Consensus in Directed Networks of Multi-agents with Time-Varying Delay. In: Zhang, H., Yang, Z., Zhang, Z., Wu, Z., Hao, T. (eds) Neural Computing for Advanced Applications. NCAA 2021. Communications in Computer and Information Science, vol 1449. Springer, Singapore. https://doi.org/10.1007/978-981-16-5188-5_6

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  • DOI: https://doi.org/10.1007/978-981-16-5188-5_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-5187-8

  • Online ISBN: 978-981-16-5188-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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