声明
Chapter 1 Introduction
1.1. Background
1.2. Industrial robot manipulators
1.3. Control methods for industrial robot manipulators
1.4 Contents of the dissertation
1.5 Summary
Chapter 2 Robust Adaptive Tracking Fuzzy Control Based on Backstepping for Industrial Robot Manipulators
2.1 Introduction
2.2 Problem formulation and preliminaries
2.3. Control design and stability analysis
2.4. Simulation and experiment results
2.5. Summary
Chapter 3 A Robust Adaptive Sliding Mode Neural Networks Control for Industrial Robot Manipulators
3.1. Introduction
3.2. Model of robotic manipulator
3.3. The structure of RBF neural networks
3.4. Control design and stability analysis
3.5. Simulation and experimental results
3.6. Summary
Chapter 4 A Robust Adaptive Sliding Mode Neural Networks Control based on Backstepping for Industrial Robot Manipulators
4.1. Introduction
4.2. Backstepping controller
4.3. Control design and stability analysis
4.4. Simulation and experimental results
4.5. Summary
Chapter 5 A Robust Adaptive Sliding Mode Control for Industrial Robot Manipulator using Fuzzy Wavelet Neural Networks
5.1. Introduction
5.2. Structure of FWNNs
5.3. Control design and stability analysis
5.4. Simulation and experimental results
5.5. Summary
Chapter 6 A Recurrent Fuzzy Wavelet Neural Networks based on Robust Adaptive Sliding Mode Control for Industrial Robot Manipulators
6.1. Introduction
6.2. Structure of RFWNNs
6.3. Control design and stability analysis
6.4. Simulation and Experimental Results
6.5. Summary
Conclusions
参考文献
Appendix A:Author’s Publication
致谢
