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    Dynamic Recurrent Neural Networks for Control of Unknown Nonlinear Systems 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1994:;volume( 116 ):;issue: 004:;page 567
    Author(s): Liang Jin; Peter N. Nikiforuk; Madan M. Gupta
    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 ...
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