Overview
- Presents a detailed study on fractional-order-based PID control strategies and the development of curve-fitting-based approximation techniques for fractional-order parameters
- Provides real-time examples of the control of process plants using the developed fractional-order-based PID control strategies and the approximation techniques
- Intended for both research and industry
- Is specifically useful in industry in the area of research and development (R&D) as well as areas where PID controllers suffice
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 264)
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Table of contents (5 chapters)
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Fractional-Order Set-Point Weighted Controllers and Approximation Techniques
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Scilab Based Toolbox for Fractional-Order Systems and PID Controllers
Keywords
About this book
Reviews
“The book is intended for students and scientists and should be of interest to practicing and research engineers as well as Ph.D. students in the field of PID controllers and fractional calculus in control of engineering problems.” (Clementina Mladenova, zbMATH 1458.93001, 2021)
Authors and Affiliations
Bibliographic Information
Book Title: Fractional-order Systems and PID Controllers
Book Subtitle: Using Scilab and Curve Fitting Based Approximation Techniques
Authors: Kishore Bingi, Rosdiazli Ibrahim, Mohd Noh Karsiti, Sabo Miya Hassan, Vivekananda Rajah Harindran
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-33934-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-33933-3Published: 13 November 2019
Softcover ISBN: 978-3-030-33936-4Published: 13 November 2020
eBook ISBN: 978-3-030-33934-0Published: 31 October 2019
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XVI, 256
Number of Illustrations: 23 b/w illustrations, 150 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence, Systems Theory, Control