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Nonlinear System Identification With Gaussian Processes Using Laguerre and Kautz Filters1
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: System identification can be used to determine data-driven mathematical models of dynamic processes. For nonlinear processes, model architectures that are as flexible as possible are required. One possibility is to utilize ...