Prentice Hall
Engineering
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ISBN-10: 0133342514
ISBN-13: 9780133342512
Publisher: Prentice Hall
Copyright: 1993
Format: Paper; 416 pp
Available on Demand
Suggested retail price: $109.00
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Covers the basics of fuzzy set theory, fuzzy logic, control and presents eleven case studies of actual applications including flight control and tracking, robot control and manufacturing planning. Fuzzy logic has proven to be the most popular and practical area of artificial intelligence technologies to be used in the industrial and manufacturing world.
- covers applications of fuzzy control implementations in such areas as air conditioners, a cooker, an electric power system, stereo system, a car stereo, robot manipulator, computer network security, optical mirror control, risk assessment, etc.
1. Introduction.
2. Set Theory — Fuzzy and Crisp Sets.
3. Propositional Calculus — Predicate Logic and Fuzzy Logic.
4. Fuzzy Rule-Based Expert Systems — I.
5. Fuzzy Rule-Based Expert Systems — II.
6. Fuzzy Logic Software and Hardware.
7. A Fuzzy Two-Axis Mirror Controller for Laser Beam Alignment.
8. Introduction of Fuzzy Sets in Manufacturing Planning.
9. A Comparison of Crisp and Fuzzy Logic Methods for Screening Enhanced Oil Recovery Techniques.
10. A Fuzzy Logic Rule-Based System for Personnel Detection.
11. Using Fuzzy Logic to Automatically Configure a Digital Filter.
12. Simulation of Traffic Flow and Control Using Fuzzy and Conventional Methods.
13. A Fuzzy Geometric Pattern Recognition Method with Learning Capability.
14. Fuzzy Control of Robotic Manipulator.
15. Use of Fuzzy Logic Control in Electrical Power Generation.
16. Fuzzy Logic Control of Resin Curing.
17. Fuzzy Logic Control in Flight Control Systems.
18. Tuning of Fuzzy Logic Controllers by Parameter Estimation Method.
Subject Index.
Author Index.
Robotics [AOD TITLES] (Electrical and Computing Engineering)
Robotics [AOD TITLES] (Mechanical & Aerospace Engineering)
Automated Manufacturing/CAD/CAM [AOD TITLES] (Mechanical & Aerospace Engineering)
Industrial Robotics [AOD TITLES] (Industrial Engineering)
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