| 摘要 | 第5-6页 |
| Abstract | 第6-7页 |
| Chapter 1 INTRODUCTION | 第13-27页 |
| 1.1 Background to the study | 第13-17页 |
| 1.2 Current status of the study | 第17-22页 |
| 1.2.1 General situation | 第17-19页 |
| 1.2.2 Genetic algorithm (GA) tuning of a neuron-fuzzy controller | 第19-20页 |
| 1.2.3 Current research studies on the application of self-tuning controller | 第20-21页 |
| 1.2.4 Current research studies on the application of PID controller | 第21-22页 |
| 1.3 Objectives of the thesis | 第22页 |
| 1.4 The object and scope of the study | 第22-23页 |
| 1.5 The method of the study | 第23页 |
| 1.6 The scientific and practical significance of the thesis | 第23-24页 |
| 1.7 Structure of the thesis | 第24-27页 |
| Chapter 2 OVERVIEW OF FUZZY SYSTEM | 第27-45页 |
| 2.1 Introduction | 第27-30页 |
| 2.2 Fuzzy logic-Fuzzy set | 第30-32页 |
| 2.3 The forms of popular membership function | 第32-34页 |
| 2.4 Fuzzy variable and language variable | 第34-35页 |
| 2.4.1 Fuzzy variable | 第34-35页 |
| 2.4.2 Language variable | 第35页 |
| 2.5 Fuzzy inference and the constituent rule | 第35-39页 |
| 2.5.1 Fuzzy inference | 第35页 |
| 2.5.2 The constituent clause | 第35-37页 |
| 2.5.3 Fuzzy constituent rule | 第37-38页 |
| 2.5.4 Rule of many constituent clauses | 第38-39页 |
| 2.6 Fuzzy system | 第39-44页 |
| 2.6.1 Block diagram | 第39-40页 |
| 2.6.2 Defuzzification method | 第40-44页 |
| 2.7 Conclusion | 第44-45页 |
| Chapter 3 OVERVIEW OF ARTIFICIAL NEURAL NETWORK | 第45-63页 |
| 3.1 Introduction | 第45-46页 |
| 3.2 Artificial neuron | 第46-49页 |
| 3.3 The types of popular artificial neural networks | 第49-51页 |
| 3.3.1 Single-layer feedforward artificial neural network | 第49-50页 |
| 3.3.2 Multilayer feedforward artificial neural network | 第50页 |
| 3.3.3 Single-layer recurrent artificial neural network | 第50-51页 |
| 3.3.4 Multilayer recurrent artificial neural network | 第51页 |
| 3.4 Learning methods of artificial neural network | 第51-54页 |
| 3.4.1 Supervised learning | 第52页 |
| 3.4.2 Reinforcement learning | 第52-53页 |
| 3.4.3 Unsupervised learning | 第53-54页 |
| 3.5 Fuzzy-Artificial neural network integrated systems | 第54-61页 |
| 3.5.1 Fuzzy-Artificial neural network with fuzzy singleton rules | 第54-56页 |
| 3.5.2 Adaptive neural-fuzzy inference system | 第56-61页 |
| 3.6 Conclusion | 第61-63页 |
| Chapter 4 MATHEMATICAL MODEL FOR CONTROL PLANT | 第63-75页 |
| 4.1 Introduction | 第63页 |
| 4.2 Some plant models of liquid tank system | 第63-66页 |
| 4.2.1 The plant model of liquid single tank system | 第63-65页 |
| 4.2.2 The plant model of liquid cascade tank system | 第65页 |
| 4.2.3 The plant model of liquid couple tank system | 第65-66页 |
| 4.2.4 The plant model of serial liquid couple tank system | 第66页 |
| 4.3 Selecting the control plant model of liquid tank system | 第66-72页 |
| 4.3.1 Selecting the model of liquid tank system | 第66-67页 |
| 4.3.2 Building the mathematical model of the selected liquid couple tank system | 第67-71页 |
| 4.3.3 The physical parameters of the plant model of the liquid couple tank system | 第71-72页 |
| 4.4 Building the simulation model of liquid couple tank system on the Matlab-Simulink | 第72-73页 |
| 4.5 Conclusion | 第73-75页 |
| Chapter 5 DESIGN OF THE CONTROLLER BASED ON THE FUZZY-NEURAL SYSTEM | 第75-97页 |
| 5.1 Designing the controller by using the ANFIS structure | 第75-83页 |
| 5.1.1 Introduction | 第75页 |
| 5.1.2 Designing the ANFIS controller for the liquid couple tank system | 第75-83页 |
| 5.2 Designing the controller by using the neural network of the Model-Free Adaptive | 第83-96页 |
| 5.2.1 Introduction | 第83页 |
| 5.2.2 SISO control system of using MFA neural network | 第83-84页 |
| 5.2.3 Structure of SISO MFA neural network controller | 第84-85页 |
| 5.2.4 The control algorithm of the SISO MFA neural network controller | 第85-86页 |
| 5.2.5 The learning algorithm of the SISO MFA neural network controller | 第86-87页 |
| 5.2.6 MIMO control system of using MFA neural network | 第87页 |
| 5.2.7 Two-inputs two-outputs control system of using MFA neural network | 第87-89页 |
| 5.2.8 The control algorithm of the two-inputs two-outputs MFA neural network controller | 第89-92页 |
| 5.2.9 Designing the MFA neural network controller for the liquid couple tank system | 第92-96页 |
| 5.3 Conclusion | 第96-97页 |
| Chapter 6 BUILD OF SIMULATION MODELS AND ANALYSIS OF RESULTS | 第97-133页 |
| 6.1 Introduction | 第97页 |
| 6.2 Building simulation model of the control system of the liquid level of the couple tank system using the ANFIS controller | 第97-106页 |
| 6.2.1 Building simulation model of the designed ANFIS controller | 第97-106页 |
| 6.2.2 Simulation model of the control system of the liquid level of the couple tank system using the ANFIS controller | 第106页 |
| 6.3 Building simulation model of the control system of liquid level of couple tank system using the MFA neural network controller | 第106-113页 |
| 6.3.1 Building simulation model of the designed MFA neural network controller | 第106-112页 |
| 6.3.2 Simulation model of the control system of the liquid level of the couple tank system using the MFA neural network controller | 第112-113页 |
| 6.4 Simulation and analysis of results | 第113-128页 |
| 6.4.1 Simulation results of the control system of the couple tank system using the ANFIS controller | 第113-123页 |
| 6.4.2 Simulation results of the control system of the couple tank system using the MFA neural network controller | 第123-128页 |
| 6.5 Conclusion | 第128-133页 |
| Chapter 7 CONCLUSION AND DEVELOPMENT | 第133-135页 |
| 7.1 Conclusion | 第133-134页 |
| 7.2 Development | 第134-135页 |
| ACKNOWLEDGEMENTS | 第135-137页 |
| REFERENCES | 第137-143页 |
| APPENDIX | 第143-154页 |
