Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research

This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial...

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Bibliographic Details
Main Author: Shang, Chao (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Springer Theses, Recognizing Outstanding Ph.D. Research,
Subjects:
Security systems.
Manufactures.
Control engineering.
Statistics .
Security Science and Technology.
Machines, Tools, Processes.
Control and Systems Theory.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
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