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International Conference on Intelligent Autonomous Systems

IAS 2016: Intelligent Autonomous Systems 14 pp 659–673Cite as

Sample-Data Control of Optimal Tracking for a Class of Non-linear Systems via Discrete-Time State Dependent Riccati Equation

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 531))

Abstract

For the Optimal tracking problem of a class affine non-linear system, based on discrete-time State Dependent Riccati Equation(DSDRE), an optimal tracking sample-data control method is proposed. Moreover, the optimization is discussed with relation between HJBE and DSDRE; stability of close-loop system is investigated with Lyapunov theorem. Finally, the method is the verified in numerical simulations.

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Author information

Authors and Affiliations

  1. Hi-Tech Institution of Xi’an, Xi’an, Shaanxi Province, China

    Fan Yang, Guoliang Zhang & Zhenan Pang

  2. High and New Technology Institution of Baoji, Baoji, Shaanxi Province, China

    Fan Yang

  3. R&D Center, AVIC Aircraft Co. Ltd., Yanliang, Shaanxi Province, China

    Lei Yuan

Authors
  1. Fan Yang
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  2. Guoliang Zhang
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  3. Zhenan Pang
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  4. Lei Yuan
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Corresponding author

Correspondence to Fan Yang .

Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University , Shanghai, China

    Weidong Chen

  2. Osaka University , Osaka, Japan

    Koh Hosoda

  3. University of Padua , Padua, Italy

    Emanuele Menegatti

  4. Osaka University , Osaka, Japan

    Masahiro Shimizu

  5. Shanghai Jiao Tong University , Shanghai, China

    Hesheng Wang

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© 2017 Springer International Publishing AG

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Yang, F., Zhang, G., Pang, Z., Yuan, L. (2017). Sample-Data Control of Optimal Tracking for a Class of Non-linear Systems via Discrete-Time State Dependent Riccati Equation. In: Chen, W., Hosoda, K., Menegatti, E., Shimizu, M., Wang, H. (eds) Intelligent Autonomous Systems 14. IAS 2016. Advances in Intelligent Systems and Computing, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-319-48036-7_48

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  • DOI: https://doi.org/10.1007/978-3-319-48036-7_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48035-0

  • Online ISBN: 978-3-319-48036-7

  • eBook Packages: EngineeringEngineering (R0)

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