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International Symposium on Neural Networks

ISNN 2014: Advances in Neural Networks – ISNN 2014 pp 611–620Cite as

Consensus for Higher-Order Multi-agent Networks with External Disturbances

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8866))

Abstract

In this paper, a class of consensus protocol for detail-balanced networks of agents with higher-order Lipschitz-type nonlinear dynamics and external disturbances is investigated. To guarantee asymptotic consensus in such a multi-agent system, several distributed controllers are constructed based only on the relative state information of neighboring agents. By appropriately constructing Lyapunov function and using tools from M-matrix theory, some sufficient conditions for achieving distributed consensus are provided. Finally, a example and simulation result is given to illustrate the effectiveness of the obtained theoretical result.

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Author information

Authors and Affiliations

  1. College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, People’s Republic of China

    Deqiang Ouyang, Haijun Jiang, Cheng Hu & Yingying Liu

Authors
  1. Deqiang Ouyang
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  2. Haijun Jiang
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  3. Cheng Hu
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  4. Yingying Liu
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Corresponding author

Correspondence to Haijun Jiang .

Editor information

Editors and Affiliations

  1. Wuhan, China

    Zhigang Zeng

  2. University of Macau, Macau, Macao

    Yangmin Li

  3. The Chinese University of Hong Kong, Hong Kong, Hong Kong, Hong Kong SAR

    Irwin King

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Ouyang, D., Jiang, H., Hu, C., Liu, Y. (2014). Consensus for Higher-Order Multi-agent Networks with External Disturbances. In: Zeng, Z., Li, Y., King, I. (eds) Advances in Neural Networks – ISNN 2014. ISNN 2014. Lecture Notes in Computer Science(), vol 8866. Springer, Cham. https://doi.org/10.1007/978-3-319-12436-0_68

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  • DOI: https://doi.org/10.1007/978-3-319-12436-0_68

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12435-3

  • Online ISBN: 978-3-319-12436-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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