Advanced fuzzy logic technologies in industrial applications
Author(s)
Bibliographic Information
Advanced fuzzy logic technologies in industrial applications
（Advances in industrial control）
Springer, c2006
- : hdb.
Available at 1 libraries
Note
Includes bibliographical references and index
Description and Table of Contents
Description
This book introduces a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs. The book describes the real-world uses of new fuzzy techniques to simplify readers' tuning processes and enhance the performance of their control systems. It further contains application examples.
Table of Contents
Conventional, Intelligent and Fuzzy Logic Control.- Fundamentals of Fuzzy Logic Control.- Static, Dynamic and Real-time Fuzzy Logic Control and Implementation.- Knowledge-based Tuning I: -Law Tuning of a Fuzzy Lookup Table.- Knowledge-based Tuning II: Design and Tuning of Fuzzy Control Surfaces with Bezier Functions.- Fuzzy Logic Control Applied in a Laser Tracking System.- Fuzzy Logic for Robot Calibrations.- Fuzzy Logic for Image Processing and Pattern Recognition.- Fuzzy Logic For Medical Engineering.- Fuzzy Logic for Transportation Guidance.- Fuzzy Logic Control for Automobiles I: Knowledge-base Gear-position Decision for Automatic Vehicles.- Fuzzy Logic Control for Automobiles II: Car Navigation and Collision Avoidance System with Fuzzy Logic.- Fuzzy Logic for Autonomous Mobile Robots.- Fuzzy Logic Control for Autonomous Underwater Vehicles.- Fuzzy Logic for Flight Control.- Fuzzy Logic for Audio Systems.- Fuzzy Logic in Data Mining.- Fuzzy Logic Control for Power Networks.- Fuzzy Logic for Servo Control Systems.- Fuzzy Control of Manufacturing Welding Systems.- Fuzzy Predictive Control of a Solar Power Plant.
by "Nielsen BookData"