IDEAS home Printed from https://ideas.repec.org/a/hin/complx/4949265.html
   My bibliography  Save this article

Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model

Author

Listed:
  • Ruiguo Liu
  • Xuehui Gao

Abstract

A new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. Firstly, only one neural network is designed to estimate the unknown system states and hysteresis section instead of multiscale neural network at former researches since that can save computation and simplify the controller design. Secondly, a new NNSMC is proposed for the hysteresis nonlinearity where it does not need tracking error transformation. Finally, the Lyapunov functions are adopted to guarantee the stabilities of the identification and control strategies semiglobally uniformly ultimately bounded (UUB). Two cases simulations are proved the effectiveness of the presented identification approach and the performance of the NNSMC.

Suggested Citation

  • Ruiguo Liu & Xuehui Gao, 2019. "Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model," Complexity, Hindawi, vol. 2019, pages 1-10, July.
    • Handle: RePEc:hin:complx:4949265
    DOI: 10.1155/2019/4949265
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2019/4949265.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2019/4949265.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/4949265?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Xuehui Gao & Ruiguo Liu, 2018. "Multiscale Chebyshev Neural Network Identification and Adaptive Control for Backlash-Like Hysteresis System," Complexity, Hindawi, vol. 2018, pages 1-9, October.
    2. Xuehui Gao, 2018. "Adaptive Neural Control for Hysteresis Motor Driving Servo System with Bouc-Wen Model," Complexity, Hindawi, vol. 2018, pages 1-9, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jianhua Zhang & Quanmin Zhu & Yang Li, 2019. "Convergence Time Calculation for Supertwisting Algorithm and Application for Nonaffine Nonlinear Systems," Complexity, Hindawi, vol. 2019, pages 1-15, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Le Chen & Ying Feng & Rui Li & Xinkai Chen & Hui Jiang, 2019. "Jiles-Atherton Based Hysteresis Identification of Shape Memory Alloy-Actuating Compliant Mechanism via Modified Particle Swarm Optimization Algorithm," Complexity, Hindawi, vol. 2019, pages 1-11, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:4949265. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.