Overview
- Presents recent research on control performance assessment
- Includes theory and industrial applications
- Written by an expert in the field
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 245)
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About this book
This book presents a comprehensive review of currently available Control Performance Assessment methods. It covers a broad range of classical and modern methods, with a main focus on assessment practice, and is intended to help practitioners learn and properly perform control assessment in the industrial reality. Further, it offers an educational guide for control engineers, who are currently in high demand in the industry.
The book consists of three main parts. Firstly, a comprehensive review of available approaches is presented and discussed. The classical canon methods are extended with a discussion of nonlinear and complex alternative measures using non-Gaussian statistics, persistence and fractional calculations. Secondly, the methods’ applicability aspects are visualized with the aid of computer simulations, covering the most popular control philosophies used in the process industry. Lastly, a critical review of the methods discussed, on the basis of real-world industrial examples, rounds out the coverage.
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Table of contents (16 chapters)
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Front Matter
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Validation with Simulation Examples
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Front Matter
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Industrial Validation
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Front Matter
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Authors and Affiliations
Bibliographic Information
Book Title: Control Performance Assessment: Theoretical Analyses and Industrial Practice
Authors: Paweł D. Domański
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-23593-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-23592-5Published: 11 September 2019
Softcover ISBN: 978-3-030-23595-6Published: 11 September 2020
eBook ISBN: 978-3-030-23593-2Published: 01 September 2019
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XVIII, 367
Number of Illustrations: 253 b/w illustrations, 266 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence