Data-Driven Dynamic Models for Nonlinear Process Optimization and Control

Wang, Zhenyu.
2018

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

Subjects
Tufts University. Department of Chemical and Biological Engineering.
Permanent URL
http://hdl.handle.net/10427/014510
ID: tufts:24335
To Cite: DCA Citation Guide