Kluwer Academic Pub, 1995. — 464 p. — ISBN: 0792395751, 9780792395751International Series in Intelligent Technologies
One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. Neural-fuzzy techniques help one to solve many of these problems.
Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students.Contents
Preface
Improvement of Fuzzy Control Methods
Neural Networks and Fuzzy Basis Functions for Functional Approximation
Ordering Fuzzy Real Quantities
Fuzzy Logic Controllers for Aircraft Flight Control
A Classical Controller: a Special Case of the Fuzzy Logic Controller
Real Time Fuzzy Logic Controller for Balancing a Beam-and-Ball System
Design of Fuzzy Controllers Based on Frequency and Transient Characteristics
Fuzzy Inference Integrating 3D Measuring System with Adaptive Sensing Strategy
Robot Hand—Eye Coordination Based on Fuzzy Logic
Using FPGA Technique for Design and Implementation of a Fuzzy Inference System
An Empirical Analysis of One Type of Direct Adaptive Fuzzy Control
Automatic Optimal Design of Fuzzy Systems Based on Universal Approximation and Evolutionary Programming
Intelligent Control Using Dynamic Neural Networks with Robotic Applications
Camcorder Operation Judgement Using a Neural Computing Approach
Model Reduction and Control of Multistage Flash (MSF) Desalinization Plants
