Industrial Applications of Fuzzy Technology
(Sprache: Englisch)
The application of fuzzy technology is widely known as a technological revolution. Shortly after it appeared, its value has rapidly become appreciated. It is absolutely indispensable for introducing the latest developments not only domestically but also...
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The application of fuzzy technology is widely known as a technological revolution. Shortly after it appeared, its value has rapidly become appreciated. It is absolutely indispensable for introducing the latest developments not only domestically but also internationally. This book is arranged to introduce easy to understand explanations mainly centered on concrete applications. It consists of twelve chapters in total which are all independently readable and provide different approaches on various projects. The minimum of Fuzzy Theory that is needed to understand its practical applications is given in Chapter 1. Chapters 2 to 5 discuss hardware, including chips, and software tools used in constructing system. Chapters 6 to 12 cover a series of practical applications. These in clude applications for industrial processes and plants, transportation systems, which were among the first applications, and applications for consumer products such as household electrical appliances. These elements together finally produced the worldwide "Fuzzy Boom". This book can be read by a wide variety of people, from undergraduate and graduate students in universities to practical engineers and project managers working in plants. The information contained in this book is a first step to this field of interest.
Inhaltsverzeichnis zu „Industrial Applications of Fuzzy Technology “
1 The Basis of Fuzzy Theory.- 1.1 Introduction.- 1.2 Fuzzy set theory.- 1.3 Fuzzy inference.- 1.4 Conclusion.- 2 ERIC A Shell for Real-time Process Control.- 2.1 Background.- 2.2 The design of ERIC.- 2.3 Internal composition of the shell.- 2.4 ERIC's knowledge expressions.- 2.5 An overview of ERIC inference processing.- 2.6 Fuzzy processing in ERIC.- 2.7 Functions for real-time control.- 2.8 In conclusion.- 3 Model Base Fuzzy Inference.- 3.1 General concepts.- 3.2 Model - based fuzzy inference.- 3.3 Model-based fuzzy inference in intellectual level 2.- 3.4 Adaptive systems.- 3.5 Intellectual level 3, 4 model - based fuzzy inference.- 3.6 In conclusion.- 4 Fuzzy Development Stations and Fuzzy Inference Processors.- 4.1 Background to development.- 4.2 Characteristics of the Mycom Fuzzy Work Station.- 4.3 Configuration of the Mycom Fuzzy Station.- 4.4 Fuzzy Work Station functions.- 4.5 Characteristics of the Virtual Paging Fuzzy Inference Chip.- 4.6 Summary.- 5 Fuzzy Processors.- 5.1 Introduction.- 5.2 The FP-3000 digital fuzzy processor.- 5.3 Analogue fuzzy processors.- 5.4 In conclusion.- 6 Fuzzy Controllers and Their Application to Water Treatment.- 6.1 Introduction.- 6.2 The general fuzzy controller design procedure.- 6.3 The FRUITAX general purpose fuzzy control system.- 6.4 An example of fuzzy control in the water treatment field.- 6.5 Cooperative control of rain water pumps by an adaptive type controller.- 6.6 In conclusion.- 7 A Combustion Control System for a Refuse Incineration Plant.- 7.1 Introduction Fuzziness incorporated into a refuse incineration plant.- 7.2 Characteristics of refuse incineration.- 7.3 Fuzzy control methods and problems.- 7.4 A fuzzy control system.- 7.5 An actual incinerator test.- 7.6 In conclusion.- 8 Fuzzy Control For Japanese SakeFuzzy decision controller and fuzzy simulator for Japanese sake fermentation.- 8.1 Introduction.- 8.2 Developing a fuzzy dicision system to perform Japanese sake fermentation control.- 8.3 Test brewing
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using a pilot plant.- 8.4 Commercial scale application.- 8.5 Summary.- 9 Elevator Control Using a Fuzzy Rule Base.- 9.1 Introduction.- 9.2 Outline of elevator group control.- 9.3 An elevator group control system using a fuzzy rule base.- 9.4 A simulation example.- 9.5 In conclusion.- 10 A Highway Tunnel Ventilation Control System Using Fuzzy Control.- 10.1 Introduction.- 10.2 Outline of a longitudinal flow ventilation system.- 10.3 A ventilation control system using fuzzy control.- 10.4 Results of applying this system.- 10.5 Future problems.- 11 Fuzzy Control and Examples of Applications.- 11.1 Introduction.- 11.2 Trends in markets and technology.- 11.3 Skilled operator's operation and fuzzy control system.- 11.4 Examples of applications of predictive fuzzy control systems.- 11.5 Future expectations.- 11.6 In conclusion.- 12 Application of Fuzzy Theory to Home Appliances.- 12.1 Introduction.- 12.2 Fuzzy inference simplification methods and tuning methods.- 12.3 Application to electrical appliances.- 12.4 Application to video equipment.- 12.5 In conclusion.
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Bibliographische Angaben
- Autor: Kaoru Hirota
- 2014, Softcover reprint of the original 1st ed. 1993, 312 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Kaoru Hirota
- Übersetzer: H. Solomon
- Verlag: Springer, Berlin
- ISBN-10: 4431658793
- ISBN-13: 9784431658795
- Erscheinungsdatum: 20.04.2014
Sprache:
Englisch
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