- Home
- Archives
- 2022
- Vol. 3 Issue 4
- Article
On-Line Adaptive Neuro Sliding Mode Control of Robot Manipulator
Authors
1Department of Computer and Information Science, Gannon University, USA. 2Department of Computer Science, Ramapo College, USA.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 4 (2022)
- Published Online
- July-August 2022
- Pages
- 221-225
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
[1] J. E. Slotine, W. Li, Applied Nonlinear Control. Prentice-Hall Inc. New Jersy, 1991
[2] K. D. Yong, “Controller design for a manipulator using theory of variable structure system,”.IEEE Trans.Systs,
Man, Cybern., vol. SMC-8, no .2, pp. 210-218, Feb. 1978.
[3] K. S. Narendra, J. Balakrishnan, “Adaptive control using multiple models, ”IEEE Trans. Automatic Control, vol. 42,no. 2, pp. 171-187,
Feb. 1997.
[4] Kumpati. S. Narendra, Cheng xiang, “Adaptive control of discrete-time systems using multiple models," IEEE Trans.Automatic control,
vol. 45, no. 9, pp. 1669-1686, sept. 2000.
[5] K S. Narendra, J. Balakrishnan, “Improving transient response of adaptive control systems using multiple models
and switching,”IEEE Trans. Automatic Control, vol. 39, pp.1861-1866, Sept. 1994.
[6] O. Kaynak, K. Erbartur, M. Ertugrul. “The Fusion of computationally intelligent methodologies and sliding mode control-a
survey,”IEEE Trans. on Industrial Electronics, vol. 48, no. 1, pp. 4-17, Feb. 2001.
[7] K. Zerenik, M. Rodic, R. Safaric, B. Curk, “Neural network sliding mode robot control, ”Robotica, vol. 15, pp.23-30, 1997.
[8] M. Ertugrul, O. Kaynak, “Neuro sliding mode control of robotic manipulators,”Mechatron, vol. 10, no 1-2, pp.243-267, 2000..
[9] M. Ertugrul, O. Kaynak, “Neural network adaptive sliding mode control and its application to SCARA type
robot manipulator,” in Proc. IEEE ICRA'97, pp. 2932-2937,1997.
[10]R.J Wai and K.Y Hsich, “Tracking Control Design for Robot Manipulator Via Fuzzy Neural Network”. Proceedings of the IEEE Int.
Conference on Fuzzy Systems .Volume 2,pp. 1422-142,2002
[2] K. D. Yong, “Controller design for a manipulator using theory of variable structure system,”.IEEE Trans.Systs,
Man, Cybern., vol. SMC-8, no .2, pp. 210-218, Feb. 1978.
[3] K. S. Narendra, J. Balakrishnan, “Adaptive control using multiple models, ”IEEE Trans. Automatic Control, vol. 42,no. 2, pp. 171-187,
Feb. 1997.
[4] Kumpati. S. Narendra, Cheng xiang, “Adaptive control of discrete-time systems using multiple models," IEEE Trans.Automatic control,
vol. 45, no. 9, pp. 1669-1686, sept. 2000.
[5] K S. Narendra, J. Balakrishnan, “Improving transient response of adaptive control systems using multiple models
and switching,”IEEE Trans. Automatic Control, vol. 39, pp.1861-1866, Sept. 1994.
[6] O. Kaynak, K. Erbartur, M. Ertugrul. “The Fusion of computationally intelligent methodologies and sliding mode control-a
survey,”IEEE Trans. on Industrial Electronics, vol. 48, no. 1, pp. 4-17, Feb. 2001.
[7] K. Zerenik, M. Rodic, R. Safaric, B. Curk, “Neural network sliding mode robot control, ”Robotica, vol. 15, pp.23-30, 1997.
[8] M. Ertugrul, O. Kaynak, “Neuro sliding mode control of robotic manipulators,”Mechatron, vol. 10, no 1-2, pp.243-267, 2000..
[9] M. Ertugrul, O. Kaynak, “Neural network adaptive sliding mode control and its application to SCARA type
robot manipulator,” in Proc. IEEE ICRA'97, pp. 2932-2937,1997.
[10]R.J Wai and K.Y Hsich, “Tracking Control Design for Robot Manipulator Via Fuzzy Neural Network”. Proceedings of the IEEE Int.
Conference on Fuzzy Systems .Volume 2,pp. 1422-142,2002
Related Articles
Share Article
*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.