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Finite Horizon Optimal Tracking Control for Nonlinear Discrete-Time Switched Systems

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Neural Information Processing (ICONIP 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10634))

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Abstract

In this paper, a finite-horizon optimal tracking control scheme is proposed for a class of nonlinear discrete-time switched systems. First, via system transformation, the optimal tracking problem is converted into designing an optimal regulator for the tracking error dynamics. Then, with convergence analysis in terms of value function and control policy, the iterative adaptive dynamic programming algorithm is introduced to obtain the finite-horizon optimal tracking controller which makes the value function close to its optimal value function. Finally, the effectiveness of the proposed control method is demonstrated using a simulation example.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (U1504615), the He’nan Postdoctoral Science Foundation funded project (2014039), the Science and Technology Development Program of He’nan Province (172102210190, 162102210401, 162102210022), the China Postdoctoral Science Foundation funded project (2015M572103), and the Scientific Research Key Foundation of Higher Education Institutions of He’nan Province (16A413001, 16A413002).

Author information

Authors and Affiliations

  1. Postdoctoral Scientific Research Station of Geography, Henan University, Kaifeng, China

    Chunbin Qin & Xianxing Liu

  2. School of Computer and Information Engineering, Henan University, Kaifeng, China

    Chunbin Qin, Xianxing Liu, Jun Wang & Dehua Zhang

  3. International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Kaifeng, China

    Chunbin Qin

  4. School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, China

    Guoquan Liu

Authors
  1. Chunbin Qin
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  2. Xianxing Liu
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  3. Guoquan Liu
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  4. Jun Wang
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  5. Dehua Zhang
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Corresponding author

Correspondence to Chunbin Qin .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    Derong Liu

  2. Guangdong University of Technology, Guangzhou, China

    Shengli Xie

  3. South China University of Technology, Guangzhou, China

    Yuanqing Li

  4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  5. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

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Qin, C., Liu, X., Liu, G., Wang, J., Zhang, D. (2017). Finite Horizon Optimal Tracking Control for Nonlinear Discrete-Time Switched Systems. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10634. Springer, Cham. https://doi.org/10.1007/978-3-319-70087-8_82

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  • DOI: https://doi.org/10.1007/978-3-319-70087-8_82

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70086-1

  • Online ISBN: 978-3-319-70087-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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