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 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.