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Stability Analysis of Event-Triggered Networked Control Systems with Time-Varying Sampling

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Intelligent Computing, Networked Control, and Their Engineering Applications (ICSEE 2017, LSMS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 762))

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Abstract

In this paper, the stability analysis of event-triggered networked control systems is investigated. First, a more advanced event-triggered algorithm is introduced. Second, the nonperiodic sampled-data system is modeled as a state delay system. Third, a stability result is derived based on Lyapunov-Krasovskii functional approach. Finally, some simulation results are given to verify the effectiveness of the proposed method.

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Author information

Authors and Affiliations

  1. College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210000, China

    Huaibin Xie

  2. Hubei Provincial Collaborative Innovation Center for New Energy Microgrid, CTGU, Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, 210000, China

    Songlin Hu

Authors
  1. Huaibin Xie
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  2. Songlin Hu
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Corresponding author

Correspondence to Huaibin Xie .

Editor information

Editors and Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, China

    Dong Yue

  2. Shanghai University , Shanghai, China

    Chen Peng

  3. Shanghai University , Shanghai, China

    Dajun Du

  4. Nanjing University of Posts and Telecommunications, Nanjing, China

    Tengfei Zhang

  5. Shanghai University , Shanghai, China

    Min Zheng

  6. Swinburne University of Technology, Melbourne, Victoria, Australia

    Qinglong Han

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© 2017 Springer Nature Singapore Pte Ltd.

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Xie, H., Hu, S. (2017). Stability Analysis of Event-Triggered Networked Control Systems with Time-Varying Sampling. In: Yue, D., Peng, C., Du, D., Zhang, T., Zheng, M., Han, Q. (eds) Intelligent Computing, Networked Control, and Their Engineering Applications. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 762. Springer, Singapore. https://doi.org/10.1007/978-981-10-6373-2_46

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  • DOI: https://doi.org/10.1007/978-981-10-6373-2_46

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6372-5

  • Online ISBN: 978-981-10-6373-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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