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

【Author】 Ren, Hongru; Cheng, Zhijian; Qin, Jiahu; Lu, Renquan

【Source】AUTOMATICA

【影响因子】6.150

【Abstract】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

【发表时间】2023 AUG

【收录时间】2023-07-03

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