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Co-occurrence Mining of 'data driven control', 'model free adaptive control' and 'iterative learning control' in Chinese Dissertation Data

Authors :
Yang Ai
Xiangpeng Liu
Lantian Guo
Ronghu Chi
Source :
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

This paper focuses on the master and doctoral dissertations on "data-driven control", "model-free adaptive control" and "iterative learning control" collected by Chinese National Knowledge Infrastructure (CNKI) database before October 31, 2019. Exploiting big data technology, three topics mentioned above are studied in the form of mapping knowledge graph by Python, ROSTCM and Ucinet social network analysis software. Our research mainly explores and analyzes the temporal evolution as well as development status of the subject words, the cultivation organizations, the fund support, the co-occurrence of key words, the co-occurrence of dissertations topics and the characteristics of supervisor -student relationship, etc., which can provide references for relevant research fields.

Details

Database :
OpenAIRE
Journal :
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)
Accession number :
edsair.doi...........69e1ba8a2b40690cb922285be62dd657