Current location - Training Enrollment Network - Mathematics courses - Fundamentals of control mathematics
Fundamentals of control mathematics
The second edition of Fuzzy Control Theory and Application was compiled by Zhu Jing Machinery Industry Press.

Good, we can consider it. The following is the catalogue:

catalogue

order

Introduction to Chapter 1

1. 1 A brief history of the development of automatic control theory

1.2 fuzzy control theory

Application field and present situation of 1.3 fuzzy control

1.4 the new trend of fuzzy theory research

Main problems in the research of 1.5 fuzzy control at present.

The second chapter is the mathematical basis of fuzzy control.

2. 1 fuzzy set

2.2 Fuzzy relation

2.3 Fuzzy Graph and Fuzzy Network

Appendix 2- Proof of Several Operational Attributes

Appendix 2-2-Proof and Popularization of Basic Principles of B F Set

Appendix 2-c ii fuzzy sets

Appendix 2-Calculation Rules for D, T and S

The third chapter is the basic theory of fuzzy control.

3. 1 fuzzy logic system

3.2 Knowledge representation in fuzzy control

3.3 membership function

3.4 Fuzzy reasoning

3.5 the method of deblurring

Appendix 3- Examples of Several Function Distributions

Appendix 3-b Several Real Domain Models of Fuzzy Conditional Statements

Appendix 3-c Several Expressions of Multiple Fuzzy Conditional Sentences

Appendix 3-d Some Common Fuzzy Implication Operators

Chapter 4 Fuzzy Controller

4. 1 Composition of fuzzy controller

4.2 Structure and classification of fuzzy controller

4.3 Fuzzy controller design

4.4 Fuzzy controller performance analysis

4.5 Characteristics of Fuzzy Controller

Appendix 4- Multi-value Relay Characteristics of Fuzzy Controller

Appendix 4-b Proves Several Theorems of Control Rule Interference

Chapter V Fuzzy Modeling and Fuzzy Identification

5. 1 system modeling

5.2 Modeling and identification based on fuzzy model

5.3 Fuzzy modeling and identification based on t-s model

5.4 Modeling and identification based on fuzzy data correlation analysis

5.5 Identification and modeling of fuzzy model based on neural network

5.6 Fuzzy model reference modeling of complex systems

Appendix 5-Optimization of 5-ADI FNN Network Parameters

Appendix 5-5-learning algorithm of b fcmnn

Proof of Theorem 5-3 and Theorem 5-5 in Appendix 5-C

Chapter VI Fuzzy Control System, Integration and Application

6. 1 fuzzy control system

6.2 Fuzzy comprehensive control system

6.3 Application of Fuzzy Control System