stands for Digital Object Identifier
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
蔡政銓 , Masters Advisor：蔡明祺
-  R. J. Wai, J. D. Lee, and L. J. Chang, “Development of adaptive sliding-mode control for nonlinear dual-axis inverted-pendulum system,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp. 815-820, 2003.
-  B. H. Shen, G. L. Hsu, M. C. Tsai, M. F. Hsieh, M. C. Wu, and C. R. Chiang, “Synchronous control of the parallel dual inverted pendulum system driven by linear servomotors,” in Proceedings of International Conference on Mechatronics, pp. 157-161, 2005.
-  K. G. Eltohamy and C. Y. Kuo, “Real time stabilisation of a triple link inverted pendulum using single control input,” IEE Proceeding control Theory & Applications, vol. 144, no.5, pp. 498-504, 1997.
-  H. X. Li, J. Y. Wang, Y. B. Feng, and Y. D. Gu, “Hardware implementation of the quadruple inverted pendulum with single motor,” Progress in Nature Science, vol. 14, no.9, pp. 822-827, 2004.
-  C. W. Anderson, “Learning to control an inverted pendulum using neural networks,” IEEE Control Systems Magazine, vol. 9, no.3, pp. 31-37, 1989.
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