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Dynamic Recurrent Neural Networks for Control of Unknown Nonlinear Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A scheme of dynamic recurrent neural networks (DRNNs) is discussed in this paper, which provides the potential for the learning and control of a general class of unknown discrete-time nonlinear ...