.png){kind=icon}
.png){kind=icon}
Return
Deception attacks on event-triggered distributed consensus estimation for nonlinear systems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.automatica.2023.111100.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper considers the security problem of distributed consensus estimation for nonlinear systems subject to deception attacks with enough/limited energy. Depending on whether the communication resources of the attacker are limited, two different attack strategies are introduced under the distributed consensus estimation framework. Then an event-triggered distributed consensus extended Kalman filter is devised for nonlinear systems, where the upper bound for the estimation error covariance matrix is derived in terms of the variance-constrained method. The stability analysis is executed to establish sufficient conditions that guarantee the boundedness of the estimation error. Finally, the results of a numerical simulation are analyzed to show the estimation performances of the proposed distributed consensus algorithm. & COPY; 2023 Elsevier Ltd. All rights reserved.
Keywords:
Distributed consensus extended Kalman
filter
Deception attack
Event-triggered transmission mechanism
Nonlinear systems
Journal
IF:
5.9
Papers:
1.2W
Citations:
5.2W