Data-Driven Control: Part One of Two A SPECIAL ISSUE SAMPLING FROM A VAST AND DYNAMIC LANDSCAPE

被引：7
|
作者：
Dorfler, Florian [1 ,2 ]
机构：
[1] Swiss Fed Inst Technol, Automat Control Lab, CH-8092 Zurich, Switzerland
[2] Swiss Fed Inst Technol, Dept Informat Technol & Elect Engn, CH-8092 Zurich, Switzerland
来源：
IEEE CONTROL SYSTEMS MAGAZINE | 2023年 / 43卷 / 05期
关键词：
ADAPTIVE-CONTROL; DESIGN;
D O I：
10.1109/MCS.2023.3291624
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Data-centric and learning-based methods have pervaded all areas of science, engineering, technology, and society at large, including the field of control systems. Whatever is your take on these developments, they cannot be ignored. Recently, a gathering of around a 100 researchers from diverse backgrounds within the IEEE Control Systems Society came together to collaboratively brainstorm about a scientific roadmap for the future of our discipline. I quote from Section 4 of the Control for Societal-Scale Challenges Roadmap 2030 report [1]: © 1991-2012 IEEE.
引用
收藏
页码：24 / 27
页数：4
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