IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v191y2022icp120-133.html
   My bibliography  Save this article

Leader-following consensus of multi-agent systems with sampled-data control and looped functionals

Author

Listed:
  • Lavanya, S.
  • Nagarani, S.

Abstract

Leader-following consensus of multi-agent systems is highly influenced by the sampling effects of the agents’ actuators. In this paper, the multi-agent systems involving leader-following strategy is considered for the consensus analysis via sampled-data control using time-dependent Lyapunov–Krasovskii functionals. A directed graph topology is assumed to address the communication network between the agents and each agent obeys a class of stochastic nonlinear dynamics via Bernoulli distribution. A looped Lyapunov Krasovskii functional (LKF) is constructed for the sake of the consensus analysis with suitable controller design to achieve closed-loop dynamics. Using Wirtinger-based integral inequalities to the integral terms of LKF derivatives, less conservative consensus conditions are established in the form of linear matrix inequalities (LMIs). Finally, two illustrative examples are given to show the effectiveness of developed theoretical results.

Suggested Citation

  • Lavanya, S. & Nagarani, S., 2022. "Leader-following consensus of multi-agent systems with sampled-data control and looped functionals," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 191(C), pages 120-133.
    • Handle: RePEc:eee:matcom:v:191:y:2022:i:c:p:120-133
    DOI: 10.1016/j.matcom.2021.08.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475421002792
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2021.08.002?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. Nguyen, Khanh Hieu & Kim, Sung Hyun, 2024. "Improved stability and stabilization criteria for multi-rate sampled-data control systems via novel delay-dependent states," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 221(C), pages 197-209.
    2. Derakhshannia, Mehran & Moosapour, Seyyed Sajjad, 2022. "Disturbance observer-based sliding mode control for consensus tracking of chaotic nonlinear multi-agent systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 194(C), pages 610-628.

    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:eee:matcom:v:191:y:2022:i:c:p:120-133. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.