Описание: This volume provides a brief review of the previous work on model reduction and identification of DPS, and develops new spatio-temporal models and their relevant identification approaches. All modeling approaches are applied to industrial thermal processes.
Описание: IMPROVE stands for `Information Technology Support for Collaborative and Distributed Design Processes in Chemical Engineering` and is a large joint project of research institutions at RWTH Aachen University. This volume summarizes the results after 9 years of cooperative research work.
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