Security event-triggered control for Markovian jump neural networks against actuator saturation and hybrid cyber attacks

• Published in: Journal of the Franklin Institute Vol. 358; no. 14; pp. 7096 - 7118
• Main Authors: Deng, Yahan, Lu, Hongqian, Zhou, Wuneng
• Format: Journal Article
• Language: English
• Published: Elmsford Elsevier Ltd 01.09.2021; Elsevier Science Ltd
• Subjects: Actuators; Controllers; Cybersecurity; Denial of service attacks; Event triggered control; Feedback control systems; Linear matrix inequalities; Markov analysis; Mathematical models; Neural networks; Random variables; Remote control; Saturation; Studies

This paper studies the problem of event-triggered control for the class of Markovian jump neural networks (MJNNs) under actuator saturation and hybrid cyber attacks. In order to save the limited network bandwidth, the event-triggered mechanism (ETM) is introduce to determine whether the signal of sa...