2021 33rd Chinese Control and Decision Conference (CCDC) 2021
DOI: 10.1109/ccdc52312.2021.9602783
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Event-triggered adaptive compensation control for nonlinear cyber-physical systems under false data injection attacks

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“…For nonlinear network systems, it was studied the transmission data of the system is affected by the false data injection attack in the network system, and a cosine similarity ratio detection mechanism based on the square root volume Kalman filter dynamic estimation algorithm is proposed in [4]. In [5], it was studied the false data injection attack of nonlinear network physical systems, designed a new adaptive event triggering scheme for resource optimization, and designed an adaptive controller and adaptive law to compensate for the false data injection attack effectively. In [6], it was studied the distributed fusion estimation of multi-sensor nonlinear network systems with random transmission delay.…”
mentioning
confidence: 99%
“…For nonlinear network systems, it was studied the transmission data of the system is affected by the false data injection attack in the network system, and a cosine similarity ratio detection mechanism based on the square root volume Kalman filter dynamic estimation algorithm is proposed in [4]. In [5], it was studied the false data injection attack of nonlinear network physical systems, designed a new adaptive event triggering scheme for resource optimization, and designed an adaptive controller and adaptive law to compensate for the false data injection attack effectively. In [6], it was studied the distributed fusion estimation of multi-sensor nonlinear network systems with random transmission delay.…”
mentioning
confidence: 99%