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International Conference on Intelligent Robotics and Applications

ICIRA 2018: Intelligent Robotics and Applications pp 39–47Cite as

Some Necessary and Sufficient Conditions for Consensus of Fractional-Order Multi-agent Systems with Input Delay and Sampled Data

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10984))

Abstract

In this paper, the consensus of fractional-order multi-agent systems subject to input delay is investigated by sampled data method on directed graph. By applying the Laplace transform and the technique of inequality, some necessary and sufficient conditions for achieving consensus of the delay systems are obtained. It is shown that the consensus of the delay systems has relationships with the order of the derivative, the sampling period, delay, coupling strength, and communication topology. Lastly, a numerical simulation is given to illustrate the theoretical results.

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Authors and Affiliations

  1. Guangdong HUST Industrial Technology Research Institute, Guangdong Province Key Lab of Digital Manufacturing Equipment, Image Processing and Intelligent Control Key Laboratory of Education Ministry of China, School of Automation, Huazhong University of Science and Technology, Wuhan, 430074, People’s Republic of China

    Yanyan Ye, Housheng Su, Tao Geng, Xudong Wang & Zuopeng Chen

Authors
  1. Yanyan Ye
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  2. Housheng Su
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  3. Tao Geng
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  4. Xudong Wang
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  5. Zuopeng Chen
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Corresponding author

Correspondence to Yanyan Ye .

Editor information

Editors and Affiliations

  1. University of Newcastle, Callaghan, New South Wales, Australia

    Zhiyong Chen

  2. University of Newcastle, Callaghan, New South Wales, Australia

    Alexandre Mendes

  3. University of Newcastle, Callaghan, New South Wales, Australia

    Yamin Yan

  4. Shenzhen Institutes of Advanced Technology, Shenzhen, China

    Shifeng Chen

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Ye, Y., Su, H., Geng, T., Wang, X., Chen, Z. (2018). Some Necessary and Sufficient Conditions for Consensus of Fractional-Order Multi-agent Systems with Input Delay and Sampled Data. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds) Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science(), vol 10984. Springer, Cham. https://doi.org/10.1007/978-3-319-97586-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-97586-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97585-6

  • Online ISBN: 978-3-319-97586-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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