Fuzzy Controller Design: Theory and Applications, 1st Edition (Hardback) book cover

Fuzzy Controller Design

Theory and Applications, 1st Edition

By Zdenko Kovacic, Stjepan Bogdan

CRC Press

416 pages | 410 B/W Illus.

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Hardback: 9780849337475
pub: 2005-12-12
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Description

Fuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex systems that demand high stability and functionality beyond the capabilities of traditional methods. A thorough treatise on the theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory- and industry-tested algorithms, techniques, and formulations of real-world problems for immediate implementation.

With surgical precision, the authors carefully select the fundamental elements of fuzzy logic control theory necessary to formulate effective and efficient designs. The book supplies a springboard of knowledge, punctuated with examples worked out in MATLAB®/SIMULINK®, from which newcomers to the field can dive directly into applications. It systematically covers the design of hybrid, adaptive, and self-learning fuzzy control structures along with strategies for fuzzy controller design suitable for on-line and off-line operation. Examples occupy an entire chapter, with a section devoted to the simulation of an electro-hydraulic servo system. The final chapter explores industrial applications with emphasis on techniques for fuzzy controller implementation and different implementation platforms for various applications.

With proven methods based on more than a decade of experience, Fuzzy Controller Design: Theory and Applications is a concise guide to the methodology, design steps, and formulations for effective control solutions.

Table of Contents

INTRODUCTION

FUZZY CONTROLLER DESIGN

Fuzzy Sets

Linguistic Variables

Fuzzy Rules

Fuzzy Controller Structure

Fuzzy Controller Stability

References

INITIAL SETTING OF FUZZY CONTROLLERS

Fuzzy Emulation of P-I-D Control Algorithms

Model Reference Based Initial Setting of Fuzzy Controllers

Phase Plane-Based Initial Setting of Fuzzy Controllers

Practical Examples: Initial Setting of a Fuzzy Controller

References

COMPLEX FUZZY CONTROLLER STRUCTURES

Hybrid Fuzzy Control

Adaptive Fuzzy Control

References

SELF-ORGANIZING FUZZY CONTROLLER

Self-Organizing Fuzzy Control Based on the Direct Lyapunov Method

Self-Organizing Fuzzy Control Based on the Hurwitz Stability Criteria

Self-Organizing Fuzzy Control Based on Sensitivity Functions

References

FUZZY CONTROLLERS AS MATLAB SUPERBLOCKS

Features of MATLAB Fuzzy Logic Toolbox

Hybrid Fuzzy Controller Super-Block for Matlab

Polynomial-Based PSLFLC Matlab Super-Block

Sensitivity Model-Based SLFLC MATLAB Super-Block

Design Project: Fuzzy Control of an Electro-Hydraulic Servo System

References

IMPLEMENTATION OF FUZZY CONTROLLERS FOR INDUSTRIAL APPLICATIONS

Brief Overview of Industrial Fuzzy Controllers

Implementation Platforms for Industrial Fuzzy Logic Controllers

Examples of Fuzzy Controller Applications in Process Control

References

About the Series

Automation and Control Engineering

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Subject Categories

BISAC Subject Codes/Headings:
TEC007000
TECHNOLOGY & ENGINEERING / Electrical
TEC009060
TECHNOLOGY & ENGINEERING / Industrial Engineering
TEC016000
TECHNOLOGY & ENGINEERING / Industrial Design / General