Data-Driven Dynamic Models for Nonlinear Process Optimization and Control

Wang, Zhenyu.

Abstract: Mathematical models play an essential role for the purposes of process optimization and control. There are two major information sources for the development of these models: the knowledge of the process inner workings and the input-output data set. The model estimated using the detailed knowledge are called the knowledge-driven model. However, the inner workings of many industrial proces... read more

Tufts University. Department of Chemical and Biological Engineering.
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ID: tufts:24335
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