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In the absence of high-fidelity analytical descriptions of a given system to be modeled, designers of model-driven control systems rely on empirical nonlinear modeling methods such as neural networks. The particularly challenging task of modeling time-varying nonlinear dynamic systems requires from the modeling technique to capture complex internal system(More)
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