IDEAS home Printed from https://ideas.repec.org/a/wly/complx/v2022y2022i1n8761612.html

Adaptive Event‐Triggered Control for Complex Dynamical Network with Random Coupling Delay under Stochastic Deception Attacks

Author

Listed:
  • M. Mubeen Tajudeen
  • M. Syed Ali
  • Syeda Asma Kauser
  • Khanyaluck Subkrajang
  • Anuwat Jirawattanapanit
  • Grienggrai Rajchakit

Abstract

This study concentrates on adaptive event‐triggered control of complex dynamical networks with unpredictable coupling delays and stochastic deception attacks. The adaptive event‐triggered mechanism is used to avoid the wasting of limited bandwidth. The probability of data communicated by the network is established by statistical properties and Bernoulli stochastic variables with an uncertain occurrence probability. Stability analysis based on Lyapunov–Krasovskii functional (LKF) and the stability of the closed‐loop system is guaranteed. Using the LMI technique, we obtain triggered parameters. To demonstrate the feasibility and usefulness of the suggested methodology, two examples are shown.

Suggested Citation

Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:8761612
DOI: 10.1155/2022/8761612
as

Download full text from publisher

File URL: https://doi.org/10.1155/2022/8761612
Download Restriction: no
File URL: https://libkey.io/10.1155/2022/8761612?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
---><---

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:wly:complx:v:2022:y:2022:i:1:n:8761612. 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: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/8503 .

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.