IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i18p2190-d630998.html
   My bibliography  Save this article

Adaptive Secure Control for Leader-Follower Formation of Nonholonomic Mobile Robots in the Presence of Uncertainty and Deception Attacks

Author

Listed:
  • Bong-Seok Park

    (Division of Electrical, Electronic, and Control Engineering, Institute of IT Convergence Technology, Kongju National University, Cheonan 31080, Korea)

  • Sung-Jin Yoo

    (School of Electrical and Electronics Engineering, Chung-Ang University, 84 Heukseok-Ro, Dongjak-Gu, Seoul 06974, Korea)

Abstract

This paper addresses an adaptive secure control problem for the leader-follower formation of nonholonomic mobile robots in the presence of uncertainty and deception attacks. It is assumed that the false data of the leader robot’s information attacked by the adversary is transmitted to the follower robot through the network, and the dynamic model of each robot has uncertainty, such as unknown nonlinearity and external disturbances. A robust, adaptive secure control strategy compensating for false data and uncertainty is developed to accomplish the desired formation of nonholonomic mobile robots. An adaptive compensation mechanism is derived to remove the effects of time-varying attack signals and system uncertainties in the proposed control scheme. Although unknown deception attacks are injected to the leader’s velocities and the model nonlinearities of robots are unknown, the boundedness and convergence of formation tracking errors of the proposed adaptive control system are analyzed in the Lyapunov sense. The validity of the proposed scheme is verified via simulation results.

Suggested Citation

  • Bong-Seok Park & Sung-Jin Yoo, 2021. "Adaptive Secure Control for Leader-Follower Formation of Nonholonomic Mobile Robots in the Presence of Uncertainty and Deception Attacks," Mathematics, MDPI, vol. 9(18), pages 1-16, September.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:18:p:2190-:d:630998
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/18/2190/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/18/2190/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tansel Yucelen & Wassim M. Haddad & Eric M. Feron, 2016. "Adaptive control architectures for mitigating sensor attacks in cyber-physical systems," Cyber-Physical Systems, Taylor & Francis Journals, vol. 2(1-4), pages 24-52, October.
    Full references (including those not matched with items on IDEAS)

    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. Yoo, Sung Jin, 2021. "Decentralized event-triggered adaptive control of a class of uncertain interconnected nonlinear systems using local state feedback corrupted by unknown injection data," Applied Mathematics and Computation, Elsevier, vol. 399(C).

    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:gam:jmathe:v:9:y:2021:i:18:p:2190-:d:630998. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.