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Impulsive Consensus Seeking in Delayed Networks of Multi-agents

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Advances in Swarm Intelligence (ICSI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6145))

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Abstract

This present paper addresses impulsive consensus problem in directed networks of dynamic agents having communication delays. Based on impulsive control theory on delayed dynamical systems, a simple impulsive consensus protocol for such networks is proposed, and a generic criterion for solving average consensus problem is analytically derived. It is shown that global average consensus of a directed delayed networked multi-agent systems can be achieved by a suitable design of the impulsive gain and impulsive interval. Simulations are presented that are consistent with the theoretical results.

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Author information

Authors and Affiliations

  1. Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai, 200072, China

    Quanjun Wu & Jin Zhou

  2. Department of Physics, School of Science, Shanghai University, Shanghai, 200444, China

    Lan Xiang

Authors
  1. Quanjun Wu
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  2. Lan Xiang
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  3. Jin Zhou
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University, 100871, Beijing, China

    Ying Tan

  2. Research and Postgraduate Office, Xi’an Jiaotong-Liverpool University, 215123, Suzhoum, China

    Yuhui Shi

  3. Department of Electrical and Computer Engineering, National University of Singapore, Engineering Drive 3, 4 Engineering Drive 3, 117576, Singapore

    Kay Chen Tan

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© 2010 Springer-Verlag Berlin Heidelberg

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Wu, Q., Xiang, L., Zhou, J. (2010). Impulsive Consensus Seeking in Delayed Networks of Multi-agents. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13495-1_85

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  • DOI: https://doi.org/10.1007/978-3-642-13495-1_85

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13494-4

  • Online ISBN: 978-3-642-13495-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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