Tracking Control of Robot Manipulators via Orthogonal Polynomials Neural Network

Author:

Wang Hongwei,Yu Shuanghe

Publisher

Springer Berlin Heidelberg

Reference13 articles.

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2. Seraji, H.Y.: Decentralized Adaptive Control of Manipulators: Theory, Simulation, and Experimentation. IEEE Transactions on Robotics and Automation 5, 183–201 (1989)

3. Li, Y.M., Ho, Y.K., Chua, C.S.: Model-Based PID Control of Constrained Robot in a Dynamic Environment with Uncertainty. In: IEEE Conference on Control Applications – Proceedings: ICA, Anchorage, USA (2000)

4. Wang, K.J., Tang, M., Liu, W.: A Study of Fuzzy Chaotic Neuron and Fuzzy Chaotic Neural Network. IEEE International Conference on Mechatronics and Automation: IMA, Niagara Falls, ON, Canada (2005)

5. Karimi, H.R., Babazadeh, A.: Modeling and Output Tracking of Transverse Flux Permanent Magnet Machines Using High Gain Observer and RBF Neural Network. ISA Transactions, 445–456 (2005)

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