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This work provides experimental demonstration for a previously proposed parallel model structure for general nonlinear model-predictive control (NMPC). The model comprises of a group of sub-models, each providing prediction of one process output at one selected future point in time. The sub-models are mutually independent and therefore can run in parallel. This work uses neural networks (NNs) for...
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