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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Dr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial automation processes. With aid of the so-called Youla parameterization, a novel PnP process monitoring and control architecture (PnP-PMCA) with modularized components is proposed. To validate the developments, a case study on an industrial rolling mill benchmark is performed, and the real-time implementation on a laboratory brushless DC motor is presented.
Authors and Affiliations
About the author
Hao Luo received the Ph.D. degree at the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany, in 2016. His research interests include model-based and data-driven fault diagnosis, fault-tolerant systems and their industrial applications.
Bibliographic Information
Book Title: Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes
Authors: Hao Luo
DOI: https://doi.org/10.1007/978-3-658-15928-3
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Fachmedien Wiesbaden GmbH 2017
Softcover ISBN: 978-3-658-15927-6Published: 18 October 2016
eBook ISBN: 978-3-658-15928-3Published: 07 October 2016
Edition Number: 1
Number of Pages: XVII, 149
Number of Illustrations: 18 b/w illustrations, 49 illustrations in colour
Topics: Control, Robotics, Mechatronics, Electrical Engineering, Industrial and Production Engineering