文档介绍：Fusion of works, Fuzzy Systems and ic Algorithms: Industrial Applications
by Lakhmi C. Jain; . Martin
CRC Press, CRC Press LLC
0849398045 11/01/98
ISBN: Pub Date:
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Preface
Chapter 1—Introduction to works, Fuzzy Systems, ic
Algorithms, and their Fusion
1. Knowledge-Based Information Systems
2. Artificial works
3. puting
4. Fuzzy Logic
5. Fusion
6. Summary
References
Chapter 2—A New Fuzzy-Neural Controller
1. Introduction
2. RBF Based Fuzzy System with Unsupervised Learning
Fuzzy System Based on RBF
Coding
Selection
Crossover Operator
Mutation Operator
3. Hierarchical Fuzzy-Neuro Controller Based on Skill Knowledge Database
4. Fuzzy-Neuro Controller for Cart-Pole System
5. Conclusions
References
Chapter 3—Expert Knowledge-Based Direct Frequency Converter Using
Fuzzy Logic Control
1. Introduction
2. XDFC Topology and Operation
3. Space Vector Model of the DFC
4. Expert Knowledge-Based SVM
5. XDFC Control
XDFC Control Strategy and Operation
Fuzzy Logic Controller
Load’s Line Current Control
Input’s Line Current Control
6. Results
7. Evaluation
8. Conclusion
References
Chapter 4—Design of an Electro-Hydraulic System Using Neuro-Fuzzy
Techniques
1. Introduction
2. The Fuzzy Logic System
Fuzzification
Inference Mechanism
Defuzzification
3. Fuzzy Modeling
4. The Learning Mechanism
Model Initialization
The Cluster-Based Algorithm
Illustrative Example
The Neuro-Fuzzy Algorithm
5. The Experimental System
Training Data Generation
6. Neuro-Fuzzy Modeling of the Electro-Hydraulic Actuator
7. The Neuro-Fuzzy Control System
Experimental Results
8. Conclusion
References
Chapter 5—Neural Fuzzy Based Intelligent Systems and Applications
1. Introduction
2. Advantages and Disadvantages of Fuzzy Logic and s
Advantages of Fuzzy Logic