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Research Article
On-Line Adaptive Neuro Sliding Mode Control of Robot Manipulator
Sheheeda Manakkadu1
Sourav Dutta2
1Department of Computer and Information Science, Gannon University, USA. 2Department of Computer Science, Ramapo College, USA.
Published Online: July-August 2022
Pages: 221-225
Cite this article
No DOIReferences
[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
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