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Table of contents (7 chapters)
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Front Matter
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Back Matter
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
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Universität Duisburg-Essen , Duisburg, Germany
Hao Luo
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