Deception attacks on event-triggered distributed consensus estimation for nonlinear systems

• Published in: Automatica (Oxford) Vol. 154; p. 111100
• Main Authors: Ren, Hongru, Cheng, Zhijian, Qin, Jiahu, Lu, Renquan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2023
• Subjects: Deception attack; Distributed consensus extended Kalman filter; Event-triggered transmission mechanism; Nonlinear systems; Distributed consensus extended Kalman filter; Event-triggered transmission mechanism; Deception attack; Nonlinear systems
• ISSN: 0005-1098; 1873-2836
• DOI: 10.1016/j.automatica.2023.111100

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.