A First Course in Fuzzy and Neural Control

A First Course in Fuzzy and Neural Control

5.0 1
by Hung T. Nguyen, Carol L. Walker, Nadipuram R. Prasad, Elbert A. Walker
     
 

ISBN-10: 1584882441

ISBN-13: 9781584882442

Pub. Date: 11/28/2002

Publisher: Taylor & Francis

Covers the methodology and the basics of both traditional and fuzzy control, with new material on theory of fuzzy control Control theory, classical control theory, and aspects of stochastic control are reviewed Provides a good understanding on how fuzzy control is used in an industrial setting Presents the methodology of fuzzy-neural control through concrete and

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Overview

Covers the methodology and the basics of both traditional and fuzzy control, with new material on theory of fuzzy control Control theory, classical control theory, and aspects of stochastic control are reviewed Provides a good understanding on how fuzzy control is used in an industrial setting Presents the methodology of fuzzy-neural control through concrete and simple industrial applications Suggests many real world projects on the topic Books on fuzzy control rarely cover traditional methods, while books on traditional control practically never cover fuzzy control techniques. As a result, fuzzy control is sometimes used where traditional control methods would work much better. A First Course in Fuzzy and Neural Control covers the methodology and the basics of both traditional and fuzzy control. Since it is the first to cover this new niche, this pioneering book will undoubtedly be adopted as a test by many schools, as was the authors' previous First Course book. It will also be of great interest to researchers and practitioners, because it will enable them to narrow the gaps in their understanding of fuzzy and traditional control.

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Product Details

ISBN-13:
9781584882442
Publisher:
Taylor & Francis
Publication date:
11/28/2002
Edition description:
New Edition
Pages:
312
Product dimensions:
6.20(w) x 9.20(h) x 0.90(d)

Table of Contents

A PRELUDE TO CONTROL THEORY
An Ancient Control System
Examples of Control Problems
Open-Loop Control Systems
Closed-Loop Control Systems
Stable and Unstable Systems
A Look at Controller Design
Exercises and Projects
MATHEMATICAL MODELS IN CONTROL
Introductory Examples: Pendulum Problems
State Variables and Linear Systems
Controllability and Observability
Stability
Controller Design
State Variable Feedback Control
Second-Order Systems
Higher-Order Systems
Proportional-Integral-Derivative Control
Nonlinear Control Systems
Linearization
Exercises and Projects
FUZZY LOGIC FOR CONTROL
Fuzziness and Linguistic Rules
Fuzzy Sets in Control
Combining Fuzzy Sets
Sensitivity of Functions
Combining Fuzzy Rules
Truth Tables for Fuzzy Logic
Fuzzy Partitions
Fuzzy Relations
Defuzzification
Level Curves and Alpha-Cuts
Universal Approximation
Exercises and Projects
FUZZY CONTROL
A Fuzzy Controller for an Inverted Pendulum
Main Approaches to Fuzzy Control
Stability of Fuzzy Control Systems
Fuzzy Controller Design
Exercises and Projects
NEURAL NETWORKS FOR CONTROL
What is a Neural Network? .
Implementing Neural Networks
Learning Capability
The Delta Rule
The Back Propagation Algorithm
Example: Training a Neural Network
Practical Issues in Training
Exercises and Projects
NEURAL CONTROL
Why Neural Networks in Control
Inverse Dynamics
Neural Networks in Direct Neural Control
Example: Temperature Control
Neural Networks in Indirect Neural Control
Exercises and Projects
FUZZY-NEURAL AND NEURAL-FUZZY CONTROL
Fuzzy Concepts in Neural Networks
Basic Principles of Fuzzy-Neural Systems
Basic Principles of Neural-Fuzzy Systems
Generating Fuzzy Rules and Membership Functions
Exercises and Projects
APPLICATIONS
A Survey of Industrial Applications
Cooling Scheme for Laser Materials
Color Quality Processing
Identification of Trash in Cotton
Integrated Pest Management Systems
Comments
Bibliography
Index

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A First Course in Fuzzy and Neural Control 5 out of 5 based on 0 ratings. 1 reviews.
Anonymous More than 1 year ago