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Deep Echo State Network Based Neuroadaptive Control for Uncertain Systems

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Neural Computing for Advanced Applications (NCAA 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1637))

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Abstract

This work presents a deep echo state network (DESN) based neuroadaptive control approach for a class of single-input single-output (SISO) uncertain system. In which, a DESN based on multiple reservoirs is applied for approximating the uncertain parts of the control system and the rigorous stability condition under the presented control strategy is analyzed. The availability of the approach is proved by comparison with the control technique using radial basis function neural network (RBFNN) and the control scheme using traditional echo state network (ESN) via numerical simulations, demonstrating that superior tracking performance is achieved by the proposed method.

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Acknowledgement

This work was supported in part by the Key Laboratory of Exploitation and Study of Distinctive Plants in Education Department of Sichuan Province (Grant No. TSZW2109) and in part by the Research Foundation of Chongqing University of Science and Technology (Grant No. 182101058).

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Authors and Affiliations

  1. Key Laboratory of Exploitation and Study of Distinctive Plants in Education Department of Sichuan Province, Sichuan University of Arts and Sciences, Dazhou, 635000, China

    Baolei Xu

  2. School of Electrical Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China

    Qing Chen

Authors
  1. Baolei Xu
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  2. Qing Chen
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Corresponding author

Correspondence to Qing Chen .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Haijun Zhang

  2. University of Jinan, Jinan, China

    Yuehui Chen

  3. Shenzhen University, Shenzhen, China

    Xianghua Chu

  4. Hefei University of Technology, Hefei, China

    Zhao Zhang

  5. South China Normal University, Guangzhou, China

    Tianyong Hao

  6. Chongqing University, Chongqing, China

    Zhou Wu

  7. Western University, London, ON, Canada

    Yimin Yang

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Xu, B., Chen, Q. (2022). Deep Echo State Network Based Neuroadaptive Control for Uncertain Systems. In: Zhang, H., et al. Neural Computing for Advanced Applications. NCAA 2022. Communications in Computer and Information Science, vol 1637. Springer, Singapore. https://doi.org/10.1007/978-981-19-6142-7_21

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  • DOI: https://doi.org/10.1007/978-981-19-6142-7_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-6141-0

  • Online ISBN: 978-981-19-6142-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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