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Consensus of Multi-agent Systems with State Constraints

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Book cover Cloud Computing and Security (ICCCS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10602))

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Abstract

This paper is devoted to the consensus problem of single-integrator agents with state constraints. The state of agents under consideration is subject to saturation nonlinearities. Some necessary and sufficient conditions of consensus with state constraints are first proposed based on investigating the unique achievable equilibrium and employing an integral Lyapunov function. With the proposed necessary and sufficient condition, the consensus problem of single-integrator agents can be solved under an undirected and connected graph. In addition, some properties of the unachievable consensus are discussed. Finally, simulation examples are given to show the validity of the theoretical results.

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Acknowledgements

This work was partially supported by the National Natural Science Foundation of China (61503079), the Jiangsu Natural Science Foundation (BK20150625), the Fundamental Research Funds for the Central Universities, and a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.

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Authors and Affiliations

  1. School of Automation, Southeast University, Nanjing, 210096, China

    Qingling Wang

Authors
  1. Qingling Wang
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Correspondence to Qingling Wang .

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Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. National Dong Hwa University, Shoufeng, Taiwan

    Han-Chieh Chao

  3. China Information Technology Security Evaluation Center, Nanjing, China

    Xingang You

  4. Department of Computer Science, Purdue University, West Lafayette, Indiana, USA

    Elisa Bertino

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Wang, Q. (2017). Consensus of Multi-agent Systems with State Constraints. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10602. Springer, Cham. https://doi.org/10.1007/978-3-319-68505-2_48

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  • DOI: https://doi.org/10.1007/978-3-319-68505-2_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68504-5

  • Online ISBN: 978-3-319-68505-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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