Data-Driven Event-Triggered Control for Discrete-Time Neural Networks Subject to Actuator Saturation
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 ...
Abstract: Load frequency control is essential for maintaining power system stability, especially under uncertainties and input delays. This paper proposes a reinforcement learning-based dual-channel ...
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