Research Design Of An Adaptive Controller Based On Desired Trajectory Compensation Of Neural Networks
By: Liu Yu

References
- 1. Fateh,M. M., A. Azarfar. Improving Fuzzy Control of Robot Manipulators by Increasing Scaling Factors. Innovative Computing. - Information and Control-Express Letters, Vol. 3, 2010, No 3, 513-518.
- 2. Calise,A. J., N. Hovakimyan,M. Idan. Adaptive Output Feedback Control of Nonlinear Systems Using Neural Networks. - Automatica, Vol. 37, 2001, No 8, 1201-1211.
- 3. DaFeipeng. Decentralized Sliding Mode Adaptive Controller Design Based on Fuzzy Neural Networks for Interconnected Uncertain Nonlinear Systems. - IEEE Transactions on Neural Networks, Vol. 11, 2000, No 6, 1471-1480.
- 4. Suresh,S., N. Kannan. Direct Adaptive Neural Flight Control System for an Unstable Unmanned Aircraft. - Applied Soft Computing, Vol. 8, 2008, No 2, 937-948.
- 5. Ho, D. W. C., J. Li, Y. Niu. Adaptive Neural Control for a Class of Nonlinearly Parametric Time-Delay Systems. - IEEE Transactions on Neural Network, Vol. 16, 2005, No 3, 625-635.
- 6. Karakasoglu, A. A Recurrent Neural Network Based Adaptive Variable Structure Model- Following Control of Robotic Manipulator. - Automatica, Vol. 31, 1995, No 10, 1495-1507.
- 7. Huang, Guang-Bin, Saratchandran, Narasimhan Sundararajan. An Efficient Sequential Learning Algorithm for Growing and Pruning RBF(GAP-RBF) Networks. - IEEE Transaction on Systems, Man, and Cybernetics - Part B: Cybernetics, Vol. 34, 2004, No 6, 2284-2292.
- 8. Huang, Guang-Bin, Saratchandran, Narasimhan Sundararajan. A Generalized Growing and Pruning RBF (GGP-RBF) Neural Network for Function Approximation. - Control Theory and Applications, Vol. 16, 2005, No 1, 57-67.
- 9. Horng, J. H., J. G. Hsiseh. Adaptive Tracking Control of a Class of Nonlinear Systems Using CMAC Neural Network [J]. - Journal of Franklin Institute, Vol. 333B, 1996, No 6, 861-878.
- 10. Lianliu, Z., J. Svoboda. A New Control Scheme for Nonlinear Systems with Disturbances. - IEEE Transactions on Control Systems Technology, Vol. 14, 2006, No 1, 176-181.
- 11. Mou, Chen, Jiang Changsheng, Wu Qingxian. A Kind of Uncertain Nonlinear System Robust H∞ Control Based on the Disturbance Observer. - Control Theory and Applications, Vol. 23, 2006, No 4, 611-614.
- 12. Chen, Y., J. L. Chang. Sliding-Mode Force Control of Manipulators. - In: Proceedings of National Science Council, Vol. 23, 1999, 281-289.
- 13. Wenhui, Zhang, Qi Naiming, Yin Hongliang. Robot Trajectory Tracking Control of Adaptive Neural Variable Structure. - Control and Decision Making, Vol. 26, 2011, No 4, 597-600.
- 14. Yao, B., M. Tomizuka. Smooth Robust Adaptive Sliding Mode Control of Robot Manipulators with Guaranteed Transient Performance. - Journal of Dynamic Systems, Measurement and Control, Vol. 29, 1993, No 1, 1176-1180.
- 15. Sun, F. C., Z. Q. Sun. Stable Neuro-Adaptive Control of Robots with the Upper Bound Estimated on the Neural Approximation Errors. - Journal of Intelligent and Robotic Systems, Vol. 26, 1999, No 1, 91-100.
- 16. Zeinali, M., L. Notash. Adaptive Sliding Mode Control with Uncertainty Estimator for Robot Manipulators. - Mechanism and Machine Theory, Vol. 45, 2010, No 1, 80-90.
- 17. Jinlei, Zhou, Zhang Weihai. The Robot Robust Control with Friction. - Journal of Mechanical Engineering, Vol. 43, 2007, No 9, 102-106.
- 18. Li, Shijin, Jiefa Wang, Zuren Fen. The Simulation Analysis of Robot System Based on Adaptive Variable Structure Control. - Journal of System Simulation, Vol. 14, 2002, No 9, 1255-1258.
DOI: https://doi.org/10.2478/cait-2014-0039 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702 (formerly 1314-4081)
Language: English
Page range: 5 - 16
Published on: Dec 30, 2014
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Related subjects:
© 2014 Liu Yu, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.