Output-based decentralised event-triggered dissipative control of NCSs under aperiodic DoS attacks

Lisai Gao, Fuqiang Li and Jingqi Fu

International Journal of Systems Science, 2021, vol. 52, issue 10, 2003-2019

Abstract: This paper studies output-based decentralised event-triggered dissipative control of NCSs under aperiodic DoS attacks. Firstly, to save constrained system resources such as network bandwidth, using information on aperiodic DoS attacks, an output-based decentralised resilient event-triggered mechanism (ETM) is introduced. Secondly, a switched system model is built, which characterises effects of aperiodic DoS attacks, decentralised resilient ETM and disturbances in a unified framework. Thirdly, sufficient conditions are derived such that the system is exponentially stable and strictly $ (\mathcal {G} $ (G, $ \mathcal {H} $ H, $ \mathcal {I}) $ I)-dissipative, which establish quantitative relationships among aperiodic DoS attacks, decentralised resilient ETM, disturbances and system performance. Further, co-design conditions are presented to compute parameters of switched dynamic output feedback controller and decentralised resilient ETM simultaneously. Finally, examples illustrate effectiveness of the proposed method.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2021.1874075 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:52:y:2021:i:10:p:2003-2019

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2021.1874075

Access Statistics for this article

International Journal of Systems Science is currently edited by Visakan Kadirkamanathan

More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().