Integrative Tracking Control Strategy for Robotic Excavation

Author:

Reginald Niraj,Seo JahoORCID,Cha Moohyun

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Control and Systems Engineering

Reference45 articles.

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2. B. Xu, Q. Su, J. Zhang, and Z. Lu, “A dead-band model and its online detection for the pilot stage of a two-stage directional flow control valve,” Proc. of Inst. Mech. Eng. Part C J. Mech. Eng. Sci., vol. 230, no. 4, pp. 639–654, 2016.

3. D. L. Hanh, K. K. Ahn, N. B. Kha, and W. K. Jo, “Trajectory control of electro-hydraulic excavator using fuzzy self tuning algorithm with neural network,” J. Mech. Sci. Technol., vol. 23, no. 1, pp. 149–160, July 2009.

4. B. Li, J. Yan, G. Guo, Y. Zeng, and W. Luo, “High performance control of hydraulic excavator based on Fuzzy-PI soft-switch controller,” Proc. of IEEE Int. Conf. Comput. Sci. Autom. Eng. CSAE 2011, vol. 2, pp. 676–679, 2011.

5. D. Zhenmian, Y. Zhengmao, Z. Hui, B. Hua, X. Yuanli, and J. Xianguo, “The study of trajectory automatic control based on RBF neural network PID control,” Proc. of the International Conference on Fluid Power and Mechatronics (FPM), Aug. 2015, pp. 1234–1238.

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