Abstract: This paper considers the synchronization of reaction-diffusion complex-valued neural networks (RDCVNNs) based on event-triggered sampling iterative learning control (ET-SILC). An ...
Abstract: Data-driven optimal power flow (OPF) leverages neural networks (NNs) to learn the OPF maps from samples. However, the inherent intricate nonlinearity in the OPF problem poses significant ...
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