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Modeling a nonlinear distributed parameter system (DPS) is difficult because it is usually hard to obtain the first-principle models in DPS with strong spatiotemporal characteristics. In this paper, a novel data-driven model, called KL–GP, is proposed based on Karhunen–Loève (KL) decomposition and Gaussian process (GP) models. First, KL decomposition is employed for the time/space separation and dimension...
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