Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...
Abstract: This article introduces a hierarchical learning (HL) framework for discrete-time (DT) systems with strict feedback structures to enable tracking control. Unlike the backstepping approach, ...
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