Abstract: This paper investigates the neural network-based event-triggered attack-compensation control problem of T-S fuzzy systems in the presence of actuator attacks. In order to enhance the ...

Abstract: In this article, the data-driven event-triggered control is addressed for unknown discrete-time neural networks (DTNNs) under actuator saturation and external perturbation. The research ...