Event-triggered H∞ control of networked switched systems subject to denial-of-service attacks. (November 2020)
- Record Type:
- Journal Article
- Title:
- Event-triggered H∞ control of networked switched systems subject to denial-of-service attacks. (November 2020)
- Main Title:
- Event-triggered H∞ control of networked switched systems subject to denial-of-service attacks
- Authors:
- Han, Yuchen
Lian, Jie
Huang, Xi - Abstract:
- Abstract: This paper investigates the event-triggered H ∞ control of networked switched systems in the presence of Denial-of-Service (DoS) attacks. DoS attacks prevent the sampled information of system state and switching signal from transmitting among the network. The transmission delay on the switching of controller leads to asynchronous switching. By a suitable event-triggered scheme, the bound of the actual DoS-induced transmission delay is obtained, which can be used to construct a merged switching signal combining the switching signal of system with DoS-induced switching signal of controller. The original networked switched systems under DoS attacks can be modeled as new switched systems with this merged switching signal. By constructing multiple quadratic Lyapunov functions with the merged switching signal, some sufficient conditions are provided for event-triggered H ∞ controller. Finally, in order to demonstrate the effectiveness and feasibility of the proposed methods, a numerical simulation is performed.
- Is Part Of:
- Nonlinear analysis. Volume 38(2020)
- Journal:
- Nonlinear analysis
- Issue:
- Volume 38(2020)
- Issue Display:
- Volume 38, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 38
- Issue:
- 2020
- Issue Sort Value:
- 2020-0038-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11
- Subjects:
- Networked switched systems -- Event-triggered H∞ control -- Denial-of-service attacks -- Average dwell time
Nonlinear functional analysis -- Periodicals
Analyse fonctionnelle non linéaire -- Périodiques
Nonlinear functional analysis
Periodicals
515.7248 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1751570X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.nahs.2020.100930 ↗
- Languages:
- English
- ISSNs:
- 1751-570X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6117.315800
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