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 ） 。
章為盛 , Masters Advisor：羅吉昌
非二次穩定 ； 平方和 ； 參數相依齊次多項式 ； 模糊系統 ； 尤拉齊次多項式定理 ； Non-quadratic stability ； Sum of squares ； Homogeneous polynomially parameter-dependent (HPPD) functions ； T-S fuzzy systems ； Euler’s Theorem for Homogeneous Functions
-  T. Takagi and M. Sugeno. Fuzzy identification of systems and its applications to modelling and control. IEEE Trans. Syst., Man,Cybern., 15(1):116–132, January 1985.
-  K. Tanaka and M. Sugeno. Stability analysis and design of fuzzy control systems. Fuzzy Set and Systems, 45:135–156, 1992.
- quadratic Lyapunov functions for the small gain, positive, circle and Popov theorems and their application to robust stability. Part II: discrete-time theory. Int’l J. of Robust and Nonlinear Control,4:249–265, 1994.
-  S. Prajna, A. Papachristodoulou, and P. Parrilo. Introducing SOSTOOLS:a general purpose sum of squares programming solver. In Proc of IEEE CDC, pages 741–746, Montreal, Ca, July 2002.
-  A. Sala and C. Arino. Polynomial fuzzy models for nonlinear control:
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