Chen / Pham Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

Erscheinungsjahr 2000
ISBN: 978-1-4200-3981-8
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 328 Seiten

In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's "art" of building a working fuzzy controller has turned into today's "science" of systematic design.

To keep pace with and further advance the rapidly developing field of applied control technologies, engineers, both present and future, need some systematic training in the analytic theory and rigorous design of fuzzy control systems. Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems provides that training by introducing a rigorous and complete fundamental theory of fuzzy sets and fuzzy logic, and then building a practical theory for automatic control of uncertain and ill-modeled systems encountered in many engineering applications. The authors proceed through basic fuzzy mathematics and fuzzy systems theory and conclude with an exploration of some industrial application examples.

Almost entirely self-contained, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems establishes a strong foundation for designing and analyzing fuzzy control systems under uncertain and irregular conditions. Mastering its contents gives students a clear understanding of fuzzy control systems theory that prepares them for deeper and broader studies and for many practical challenges faced in modern industry.

Zielgruppe

Electrical, Computer, and Control Engineering professionals and senior/graduate students

Autoren/Hrsg.

Chen, Guanrong

Pham, Trung Tat

Fachgebiete

• Sozialwissenschaften Pädagogik Schulen, Schulleitung Universitäten, Hochschulen
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Universitäten, Wissenschaftliche Akademien, Gelehrtengesellschaften

Inhaltsverzeichnis

FUZZY SET THEORY
Classical Set Theory
Fuzzy Set Theory
Interval Arithmetic
Operations on Fuzzy Sets
FUZZY LOGIC THEORY
Classical Logic Theory
The Boolean Algebra
Multi-Valued Logic
Fuzzy Logic and Approximate Reasoning
Fuzzy Relations
Fuzzy Logic Rule Base
FUZZY SYSTEM MODELING
Modeling of the Static Fuzzy Systems
Stability Analysis of Discrete-Time Dynamic Fuzzy Systems
Modeling of Continuous-Time Dynamic Fuzzy Systems
Stability Analysis of Continuous-Time Fuzzy Systems
Controllability Analysis of Continuous-Time Dynamic Fuzzy Systems
Analysis of Nonlinear Continuous-Time Dynamic Fuzzy Systems
FUZZY CONTROL SYSTEMS
Classical Programmable Logic Control
Fuzzy Logic Control I: A General Model-Free Approach
Fuzzy Logic Control II: A General Model-Based Approach
FUZZY PID CONTROLLERS
Conventional PID Controllers
Fuzzy PID Controllers
Fuzzy PID Controllers: Stability Analysis
ADAPTIVE FUZZY CONTROL
Fundamental Adaptive Fuzzy Control Concept
Gain Scheduling
Fuzzy Self-Tuning Regulator
Model Reference Adaptive Fuzzy Systems
Dual Control
Sub-Optimal Fuzzy Control
APPLICATIONS IN FUZZY CONTROL
Health Monitoring Fuzzy Diagnostic Systems
Fuzzy Control of Image sharpness for Auto-focus Cameras
Fuzzy Control for Servo Mechanic Systems
Fuzzy PID Controllers for Servo Mechanic Systems
Fuzzy Controllers for Robotic Manipulator

Note: Each chapter also contains Problems and References