Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison

arXiv:2506.12819v2 Announce Type: replace-cross Abstract: Computationally cheap yet accurate dynamical models are a key requirement for real-time capable nonlinear optimization and model-based control. When given a computationally expensive high-order prediction model, a reduc...

🔗 Read more: https://arxiv.org/abs/2506.12819

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