Robotics & Machine Learning Daily News2024,Issue(Feb.26) :53-54.DOI:10.1109/TCSII.2023.3291360

Reports Summarize Robotics Findings from Bohai University (Adaptive Fuzzy Finite-time Command Filtering Control for Flexible-joint Robot Systems Against Multiple Actuator Constraints)

Robotics & Machine Learning Daily News2024,Issue(Feb.26) :53-54.DOI:10.1109/TCSII.2023.3291360

Reports Summarize Robotics Findings from Bohai University (Adaptive Fuzzy Finite-time Command Filtering Control for Flexible-joint Robot Systems Against Multiple Actuator Constraints)

扫码查看

Abstract

Current study results on Robotics have been published. According to news reporting out of Jinzhou, People’s Republic of China, by NewsRx editors, research stated, “This brief focuses on the issue of fuzzy finite-time position tracking control for single-link flexible-joint robotic systems subject to multiple actuator constraints. At first, fuzzy logic systems are invoked to estimate completely unknown nonlinear functions, which can appropriately overcome heavy calculations.” Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from Bohai University, “Next, the inherent computational complexity problem is eliminated via adopting command filter technology and the correlative error compensation mechanism is exploited to mitigate the influence of the errors brought by the filter. Further, the developed controller not only assures the semi-global finite-time stable of the controlled system, but also makes the tracking error enter a small region around the origin within fast finite time.” According to the news editors, the research concluded: “The significance and potential of the presented control technique can be testified through simulation results.”

Key words

Jinzhou/People’s Republic of China/Asia/Emerging Technologies/Fuzzy Logic/Machine Learning/Robot/Robotics/Bohai University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
参考文献量23
段落导航相关论文