Fuzzy systems modeling and control with application in robotics: A scientometric review and perspectives

被引：0
|
作者：
Li, Guangyuan [1 ]
Chen, Jicheng [1 ]
Zhang, Silong [1 ]
Qi, Zhi [1 ]
Zhang, Hui [1 ]
机构：
[1] Beihang Univ, Sch Transportat Sci & Engn, 37 Xueyuan Rd, Beijing 100191, Peoples R China
来源：
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING | 2024年
关键词：
Fuzzy system; robotics; decision-making; control; NONLINEAR-SYSTEMS; TRACKING CONTROL; PATTERN-RECOGNITION; DESCRIPTOR SYSTEMS; CONTROL DESIGN; SHORTEST-PATH; BLOW-UP; TIME; LOGIC; STABILITY;
D O I：
10.1177/09596518241272841
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The application of fuzzy systems in the field of robotics has been a focal point for researchers and technologists. This article presents a scientometric study of fuzzy systems in robotics, primarily employing the CiteSpace tool. By analyzing a database comprising 729 collected articles, we conduct a detailed analysis of the major contribution areas, institutions, journals, high-frequency keywords, and keyword clustering related to the application of fuzzy systems in robotics. The results indicate significant progress in recent years across various aspects such as system modeling, perception, planning, decision-making, and control in the application of fuzzy systems in robotics. It is noteworthy that fuzzy control in robotics is transitioning from traditional controller design toward nonlinear and intelligent control, with a particular emphasis on addressing nonlinear problems using fuzzy systems, which is one of the current main research trends. This article provides a comprehensive mind map that can assist researchers in related fields and offers valuable insights for future research directions and developments.
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页数：15
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