Fuzzy Control and Identification
A comprehensive introduction to fuzzy control and identification, covering both Mamdani and Takagi-Sugeno fuzzy systemsA fuzzy control system is a control system based on fuzzy logic, which is a mathematical system that makes decisions using human reasoning processes. This book presents an introduct...
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| Hlavní autor: | |
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| Médium: | E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Hoboken, N.J
John Wiley & Sons
2010
Wiley John Wiley & Sons, Incorporated Wiley-Blackwell |
| Vydání: | 1 |
| Témata: | |
| ISBN: | 0470542772, 9780470542774, 9780470872710, 0470872713, 1118097815, 9781118097816 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | A comprehensive introduction to fuzzy control and identification, covering both Mamdani and Takagi-Sugeno fuzzy systemsA fuzzy control system is a control system based on fuzzy logic, which is a mathematical system that makes decisions using human reasoning processes. This book presents an introductory-level exposure to two of the principal uses for fuzzy logic—identification and control. Drawn from the author's lectures presented in a graduate-level course over the past decade, this volume serves as a holistically suitable single text for a fuzzy control course, compiling the information often found in several different books on the subject into one.Starting with explanations of fuzzy logic, fuzzy control, and adaptive fuzzy control, the book introduces the concept of expert knowledge, which is the basis for much of fuzzy control. From there, the author covers:Basic concepts of fuzzy sets such as membership functions, universe of discourse, linguistic variables, linguistic values, support, a-cut, and convexityBoth Mamdani and Takagi-Sugeno fuzzy systems, showing how an effective controller can be designed for many complex nonlinear systems without mathematical models or knowledge of control theory while also suggesting several approaches to modeling of complex engineering systems with unknown modelsHow PID controllers can be made fuzzy and why this is usefulPosition-form and incremental-form fuzzy controllersHow nonlinear systems can be modeled as fuzzy systems in several formsHow fuzzy tracking control and model reference control can be realized for nonlinear systems using parallel distributed techniquesThe estimation of nonlinear systems using the batch least squares, recursive least squares, and gradient methodsThe creation of direct and indirect adaptive fuzzy controllersAlso included are many examples, exercises, and computer program listings, all class-tested. Fuzzy Control and Identification is intended for seniors and first-year graduate students, and is suitable for any engineering department. No knowledge specific to any particular branch of engineering is required, and no knowledge of electrical, chemical, or mechanical systems is necessary to read and understand the material. |
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| Bibliografie: | Available also in a print ed. Mode of access: Internet via World Wide Web. Title from title screen. |
| ISBN: | 0470542772 9780470542774 9780470872710 0470872713 1118097815 9781118097816 |
| DOI: | 10.1002/9780470874240 |