IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v52y2021i6p1129-1147.html
   My bibliography  Save this article

A survey on sliding mode control for networked control systems

Author

Listed:
  • Jun Hu
  • Hongxu Zhang
  • Hongjian Liu
  • Xiaoyang Yu

Abstract

In the framework of the networked control systems (NCSs), the components are connected with each other over a shared band-limited network. The merits of NCSs include easy extensibility, resource sharing, high reliability and so forth. However, the insertion of the communication network brings many challenges, such as network-induced phenomena and cyber-security, which should be handled properly. On the other hand, the sliding mode control (SMC) has become an effective scheme for the synthesis of NCSs due to its strong robustness and SMC has wide applications in NCSs. In this paper, some recent advances on SMC for NCSs are reviewed. In particular, some new SMC schemes for NCSs subject to time-delay, packet losses, quantisation and uncertainty/disturbance are summarised firstly. Subsequently, the problem of SMC for NCSs under scheduling protocols is discussed, where different communication protocols are introduced for the energy saving purpose during the synthesis of NCSs. Next, some recent results on SMC for NCSs with actuator/sensor fault and cyber-attack are recalled. Finally, the conclusion is provided and the potential research challenges on SMC for NCSs are pointed out.

Suggested Citation

  • Jun Hu & Hongxu Zhang & Hongjian Liu & Xiaoyang Yu, 2021. "A survey on sliding mode control for networked control systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 52(6), pages 1129-1147, April.
    • Handle: RePEc:taf:tsysxx:v:52:y:2021:i:6:p:1129-1147
    DOI: 10.1080/00207721.2021.1885082
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2021.1885082
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2021.1885082?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Zhang, Xuefeng & Chen, Shunan & Zhang, Jin-Xi, 2022. "Adaptive sliding mode consensus control based on neural network for singular fractional order multi-agent systems," Applied Mathematics and Computation, Elsevier, vol. 434(C).
    2. Li, Jiaxing & Hu, Jun & Cheng, Jun & Wei, Yunliang & Yu, Hui, 2022. "Distributed filtering for time-varying state-saturated systems with packet disorders: An event-triggered case," Applied Mathematics and Computation, Elsevier, vol. 434(C).
    3. Guo, Xinchen & Wei, Guoliang, 2023. "Distributed sliding mode consensus control for multiple discrete-Time Euler-Lagrange systems," Applied Mathematics and Computation, Elsevier, vol. 446(C).

    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:taf:tsysxx:v:52:y:2021:i:6:p:1129-1147. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TSYS20 .

    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.