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Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes

  • Hao Luo

Table of contents

About this book

Introduction

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.

Contents

  • PnP Process Monitoring and Control Architecture
  • Real-Time Configuration Techniques for PnP Process Monitoring
  • Real-Time Configuration Techniques for PnP Performance Optimization
  • Benchmark Study and Real-Time Implementation

Target Groups

  • Researchers and students of Automation and Control Engineering
  • Practitioners in the area of Industrial and Production Engineering

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.

Keywords

Adaptive Observer Robustness Optimization Youla Parameterization Fault-Tolerant Control Fault Detection

Authors and affiliations

  • Hao Luo
    • 1
  1. 1.Universität Duisburg-Essen DuisburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-658-15928-3
  • Copyright Information Springer Fachmedien Wiesbaden GmbH 2017
  • Publisher Name Springer Vieweg, Wiesbaden
  • eBook Packages Engineering
  • Print ISBN 978-3-658-15927-6
  • Online ISBN 978-3-658-15928-3
  • Buy this book on publisher's site
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