Overview
- Presents a Stability Analysis and Control Synthesis using Membership Function Dependent Techniques
- Summarizes the authors´ recent contributions on polynomial fuzzy-model-based (PFMB) control systems
- Discusses advanced stability analysis techniques and control methods for various PFMB control systems that found a concrete theoretical base to support the investigation of PFMB control systems at research level
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 64)
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Table of contents (10 chapters)
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Front Matter
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Introduction and Preliminaries
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Front Matter
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Stability Analysis Techniques
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Front Matter
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Advanced Control Methodologies
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Front Matter
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Back Matter
Keywords
About this book
The book presents on a research level the most recent and advanced research results, promotes the research of polynomial-fuzzy-model-based control systems, and provides theoretical support and point a research direction to postgraduate students and fellow researchers. Each chapter provides numerical examples to verify the analysis results, demonstrate the effectiveness of the proposed polynomial fuzzy control schemes, and explain the design procedure. The book is comprehensively written enclosing detailed derivation steps and mathematical derivations also for readers without extensive knowledge on the topics including students with control background who are interested in polynomial fuzzy model-based control systems.
Authors and Affiliations
Bibliographic Information
Book Title: Polynomial Fuzzy Model-Based Control Systems
Book Subtitle: Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques
Authors: Hak-Keung Lam
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-34094-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-34092-0Published: 30 July 2016
Softcover ISBN: 978-3-319-81676-0Published: 30 May 2018
eBook ISBN: 978-3-319-34094-4Published: 18 July 2016
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XIX, 296
Number of Illustrations: 87 b/w illustrations
Topics: Control and Systems Theory, Computational Intelligence, Artificial Intelligence
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