Overview
- Focuses on the synthesis and analysis of type-2 fuzzy logic controllers
- Covers closed-loop system analysis with smooth and nonsmooth Lyapunov functions
- Sheds light on stability analysis of fuzzy control systems
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 373)
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Table of contents (7 chapters)
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Front Matter
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Introduction
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Front Matter
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Genetic Algorithms
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Front Matter
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Back Matter
Keywords
- Design of Fuzzy Controllers
- Nonsmooth Lyapunov Functions
- Mechanical Systems With Coulomb Friction
- Stabilization of Electromechanical Systems
- Stability Analysis of Fuzzy Control Systems
- Lyapunov Stability Analysis
- Control of Wheeled Mobile Robots
- Biped Robot Model
- Mamdani-type Fuzzy Logic Control
- Stability Analysis of DC Motors
- Stability of Closed-loop Systems
- Velocity Fuzzy Control Systems
- Genetic Optimization
- Parallel Genetic Algorithms
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Type-2 Fuzzy Logic in Control of Nonsmooth Systems
Book Subtitle: Theoretical Concepts and Applications
Authors: Oscar Castillo, Luis T. Aguilar
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-03134-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-03133-6Published: 13 November 2018
eBook ISBN: 978-3-030-03134-3Published: 02 November 2018
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XI, 122
Number of Illustrations: 57 b/w illustrations, 18 illustrations in colour
Topics: Computational Intelligence, Control and Systems Theory, Vibration, Dynamical Systems, Control, Robotics and Automation