Abstract: This article investigates the sampled-data sliding-mode control (SMC) problem for a class of uncertain systems with matched disturbances, where the sampling period switches among several ...
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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