数据驱动的控制:二集之一:从一个巨大的和动态的景观的特别问题抽样

IF 3.9 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

IEEE Control Systems Magazine Pub Date : 2023-10-01 DOI:10.1109/mcs.2023.3291624

Florian Dörfler

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引用次数: 0

摘要

以数据为中心和基于学习的方法已经渗透到科学、工程、技术和社会的各个领域，包括控制系统领域。无论你如何看待这些事态发展，它们都不容忽视。最近，来自IEEE控制系统协会不同背景的大约100名研究人员聚集在一起，共同为我们学科的未来制定科学路线图。我引用《2030年社会规模挑战控制路线图》报告的第四节[1]:

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data-Driven Control: Part One of Two: A Special Issue Sampling from a Vast and Dynamic Landscape

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] :

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来源期刊

IEEE Control Systems Magazine 工程技术-自动化与控制系统

CiteScore

3.70

自引率

5.30%

发文量

137

审稿时长

>12 weeks

期刊介绍： As the official means of communication for the IEEE Control Systems Society, the IEEE Control Systems Magazine publishes interesting, useful, and informative material on all aspects of control system technology for the benefit of control educators, practitioners, and researchers.