Self-Tuning Control for Articulated Robots Using the Plestan’s Method-Reference-Cited by-同舟云学术

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Self-Tuning Control for Articulated Robots Using the Plestan’s Method

Published:2021-02-26 Issue:4 Volume:22 Page:557-566
ISSN:2234-7593
Container-title:International Journal of Precision Engineering and Manufacturing
language:en
Short-container-title:Int. J. Precis. Eng. Manuf.

Author:

Jin Maolin,Lee Jinoh^ORCID,Seo Kap-Ho,Suh Jin-Ho

Funder

Ministry of Trade, Industry and Energy

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s12541-021-00488-z.pdf

Reference30 articles.

1. Bae, H. J., Jin, M., Suh, J., Lee, J., Chang, P. H., & Ahn, D. S. (2017). Control of robot manipulators using time-delay estimation and fuzzy logic systems. Journal of Electrical Engineering and Technology, 12(3), 1271–1279.

2. Baek, J., Kwon, W., & Kang, C. (2020). A new widely and stably adaptive sliding-mode control with nonsingular terminal sliding variable for robot manipulators. IEEE Access, 8, 43443–43454.

3. Chang, P. H., & Lee, J. W. (1996). A model reference observer for time-delay control and its application to robot trajectory control. IEEE Transactions on Control Systems Technology, 4(1), 2–10.

4. Cho, S. J., Jin, M., Kuc, T. Y., & Lee, J. S. (2014). Stability guaranteed auto-tuning algorithm of a time-delay controller using a modified Nussbaum function. International Journal of Control, 87(9), 1926–1935.

5. Cho, S. J., Lee, J., Kim, J., Kuc, T. Y., Chang, P. H., & Jin, M. (2017). Adaptive time-delay control with a supervising switching technique for robot manipulators. Transactions of the Institute of Measurement and Control, 39(9), 1374–1382.

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