Observer-based non-fragile H∞-consensus control for multi-agent systems under deception attacks

Jinnan Zhang, Jinbo Song, Jiahui Li, Fei Han and Hongbin Zhang

International Journal of Systems Science, 2021, vol. 52, issue 6, 1223-1236

Abstract: This paper addresses the non-fragile $ H_{\infty } $ H∞-consensus control problem for multi-agent systems subject to deception attacks and missing measurements based on the designed observers. First of all, a sequence of Bernoulli distributed stochastic variables is applied to characterise the random nature of the missing measurements, where the changeable missing probability is constrained by a norm-bounded condition to reflect the reality more closely. Next, constraint conditions are given for the malicious signal considered in deception attacks with the purpose of limiting the difference between the attack signal and the true signal. The aim of this research is to design an observer-based non-fragile $ H_{\infty } $ H∞-consensus controller for each agent such that the multi-agent closed-loop system can achieve the stochastic stability and meet the prescribed disturbance attenuation level when encountering the deception attacks and missing measurements. Then, based on Lyapunov stability theory, the sufficient condition is established to ensure the existence of the desired observer and controller. Moreover, the gain parameters are calculated by solving linear matrix inequalities. Finally, an explanative example is employed to demonstrate the effectiveness of the proposed distributed control algorithm.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2021.1884917 (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:6:p:1223-1236

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

DOI: 10.1080/00207721.2021.1884917

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 ().