Joze Dedic

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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 timevarying nonlinear dynamic systems requires from the modeling technique to capture complex internal system(More)
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