Stability analysis of reference compensation technique for controlling robot manipulators by neural network

Author:

Jung Seul

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Control and Systems Engineering

Reference10 articles.

1. H. Gomi and M. Kawato, “Learning control for a closed loop system using feedback error learning,” Proc. of the IEEE International Conf. on Decision and Control, pp. 3289–3294, 1990.

2. X. Xie, L. Cheng, Z. Hou, and C. Ji, “Adaptive neural network control of a 5 DOF robot manipulator,” Proc. of Int. Conf. on Intelligent Control and Information Processing, pp. 376–381, 2010.

3. Y. Wu, Q. He, and C. Wang, “Adaptive neural learning control of rigid-link electrically-driven robot manipulators,” Proceedings of the 30th Chinese Control Conference, pp. 6616–6622, 2011.

4. D. Zhao, Q. Zhu, N. Li, and S. Li, “Neural network based synchronized control for multiple robotic manipulators,” Proc. of IEEE Conf. on Control and Automation, pp. 1950–1955, 2013.

5. R. J. Wai and R. Muthusamy, “Fuzzy-neural network inherited sliding-mode control for robot manipulator including actuator dynamics,” IEEE Trans. on Neural Network and Learning Systems, vol. 24, no. 2, pp. 274–287, 2013.

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