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Foreword
Acknowledgments

PART I—FUZZY SYSTEMS
Chapter 1—Why Fuzzy Process Control?
1.1 Introduction
1.2 A Bit of History
1.3 Where We Got Involved
1.4 Fuzzy Production Rules for Modeling
1.5 Review - Preview
References
Chapter 2—The First Fuzzy Controller
2.1 Introduction
2.2 The Physical System
2.3 Design of a Fuzzy Logic Controller
2.4 Review and Preview
References
Chapter 3—A Cart-Pole Fuzzy Controller
3.1 Introduction
3.2 Cart-Pole Balancing System
3.3 Cart-Pole FLC
3.4 Review/Preview
References
Chapter 4—A Satellite Rendezvous Fuzzy Controller
4.1 Introduction
4.2 The Physical System
4.3 A Fuzzy Process Controller
4.4 Details of the Rendezvous Controller
4.5 Review/Preview
References

PART II—GENETIC ALGORITHMS
Chapter 5—Genetic Algorithms as Search Procedures
5.1 Introduction
5.2 A Simple Genetic Algorithm
5.2.1 Getting Started
5.2.1 Coding
5.2.3 Fitness Function
5.2.4 Generate New Solutions
5.3 How Genetic Algorithms Work
5.4 Genetic Algorithm Applied to Least-Squares Curve-Fitting Problems
5.4.1 Preliminary Considerations
5.4.2 Example 1 — Polymer Required for Dewatering Versus Concentration
5.4.4 Example 2 — Ree-Eyring Equation
5.5 Review/Preview
References
Chapter 6—Genetic Algorithm Design of a Liquid Level Controller
6.1 Introduction
6.2 Genetic Algorithm for Membership Function Adjustment
6.2.1 Coding Scheme
6.2.2 Fitness Function
6.3 Results
6.4 Review/Preview
Chapter 7—GA-Tuned Cart-Pole Control
7.1 Introduction
7.2 Rule Selection in Less Time
7.2.1 Coding
7.2.2 Fitness Function
7.2.3 Results
7.3 An Expanded Rule Set and a New Approach to Coding
7.3.1 Coding
7.3.2 Fitness Function
7.3.3 Results
7.4 Introduction of Error
7.5 Review/Preview
References
Chapter 8—Satellite Rendezvous Using a Genetic Algorithm
8.1 Introduction
8.2 Review of the Rendezvous System
8.3 Genetic Algorithm Improves the System
8.3.1 Coding Scheme
8.3.2 Fitness Function
8.3.3 Results
8.4 Implication Operators
8.5 Review/Preview
References
Chapter 9—Time-Varying Cart-Pole Controller
9.1 Introduction
9.2 Time-Varying Cart-Pole System
9.3 Alternative to Additional Rules
9.4 Results
9.4 Review/Preview
References

PART III—COMPUTER MODELING
Chapter 10—Genetic Algorithms for Model Tuning
10.1 Introduction
10.2 The LS and LMS Methods
10.3 Hydrocyclone Separator
10.4 Grinding
10.5 Column Flotation Circuit
10.6 Review/Preview
References
Chapter 11—Neural Networks for Computer Modeling
11.1 Introduction
10.2 Neural Network Basics
11.3 Neural Network Model of Grinding
11.4 Neural Network Model of Hydrocyclone
11.5 Neural Network Model of Flotation
11.6 Review/Preview
References
Chapter 12—Fuzzy Rules for Computer Modeling
12.1 Introduction
12.2 Modeling vs. Control
12.3 Fuzzy Model of A Grinding Circuit
12.4 Review/Preview
References

PART IV—APPLICATIONS
Chapter 13—Adaptive Control of a pH System
13.1 Introduction
13.2 Problem Environment
13.3 Control Element
13.5 Analysis Element
13.6 Adaptive Element
13.7 Results
13.8 Summary and Conclusions
References
Chapter 14—Adaptive Control of a Hexamine Production System
14.1 Introduction
14.2 Physical System
14.3 An Adaptive Hexamine GA-FC
14.3.1 Control Element
14.3.2 Analysis Element
14.3.3 Learning Element
14.4 Results
14.5 Review/Preview
References
Chapter 15—Adaptive Control of Column Flotation
15.1 Introduction
15.2 Column Flotation System
15.3 Structure of the Adaptive Controller
15.3.1 Control Element
15.3.2 Analysis Element
15.3.3 Learning Element
15.4 Review/Preview
References
Chapter 16—Control of a Chaotic System
16.1 Introduction
16.2 Chaotic Systems
16.3 The Chaotic System
16.4 Surface-Fitting and the Analytical Solution
16.5 GA-Designed Fuzzy Logic Controller
16.6 Results
16.7 Review/Preview
References
Chapter 17—Helicopter Flight Control
17.1 Introduction
17.2 The Problem
17.3 The Helicopter
17.4 Fuzzy Logic Controller Architecture
17.5 Search Implementation
17.6 Results
17.7 Review and Preview
References
Chapter 18—Fuzzy Classifier System
18.1 Inroduction
18.2 The Physical System
18.3 Learning Classifier Systems
18.4 Application of a Fuzzy Classifier System
18.6 Results
18.7 Review and Future Work
References
Index
Copyright © CRC Press LLC

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