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Exponential Synchronization Control of Neural Networks with Time-Delays and Markovian Jumping Parameters

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Proceedings of 2018 Chinese Intelligent Systems Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 528))

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Abstract

In this paper, the exponential synchronization control is considered for neural networks with time-delays and Markovian jumping parameters. The jumping parameters are modeled as continuous-time finite-state Markov chain. By resorting to the Lyapunov functional method, a linear matrix inequality (LMI) approach is developed to derive the synchronization required. Simulations with Matlab verify the effectiveness of the proposes criteria.

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Author information

Authors and Affiliations

  1. College of Information Science and Technology, Donghua University, Shanghai, 201620, China

    Yuqing Sun, Xiangwu Ding, Wuneng Zhou & Xin Zhang

  2. Wenlan School of Business, Zhongnan University of Economics and Law, Wuhan, 430073, China

    Yiyuan Zheng

  3. Bros Eastern Stock Co., Ltd, Ningbo, 315040, China

    Yiming Gan

  4. Glorious Sun School of Business and Management, Donghua University, Shanghai, 201620, China

    Lifei Yang

Authors
  1. Yuqing Sun
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  2. Yiyuan Zheng
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  3. Xiangwu Ding
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  4. Yiming Gan
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  5. Wuneng Zhou
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  6. Xin Zhang
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  7. Lifei Yang
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Corresponding author

Correspondence to Wuneng Zhou .

Editor information

Editors and Affiliations

  1. Beihang University, Beijing, China

    Yingmin Jia

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  3. University of Science and Technology Beijing, Beijing, China

    Weicun Zhang

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Cite this paper

Sun, Y. et al. (2019). Exponential Synchronization Control of Neural Networks with Time-Delays and Markovian Jumping Parameters. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2018 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 528. Springer, Singapore. https://doi.org/10.1007/978-981-13-2288-4_52

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