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Event-triggered H∞/passive synchronization for Markov jumping reaction-diffusion neural networks under deception
Ziwei Zhang1, Feng Li1, Ting Fang1
1School of Electrical and Information Engineering, Anhui University of Technology, Ma' anshan 243032, China.
Abstract:
The issue of H∞/passive master-slave synchronization for Markov jumping neural networks with reaction-diffusion terms is investigated in this paper via an event-triggered control scheme under deception attacks. To lighten the burden of limited communication bandwidth as well as ensure the control performance, an event-triggered transmission scheme is developed. Meanwhile, the randomly occurring deception attacks, which received from the event generator are assumed to modify the sign of the control signal, are taken into account. Furthermore, sufficient conditions ensuring the prescribed H∞/passive performance level of the neural networks, are deduced beyond Lyapunov stability theory, and the controller gains are derived dealing with the matrix convex optimization problem. At last, the availability of the approach proposed is demonstrated via a numerical example.
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