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Optimal Transport for Applications in Control and Estimation
IEEE Control Systems ( IF 3.9 ) Pub Date : 2021-07-20 , DOI: 10.1109/mcs.2021.3076390
Yongxin Chen , Johan Karlsson , Axel Ringh

In recent decades, there has been a rapid development of theory and methods for optimal transport, both within systems and control as well as in other areas such as signal processing, medical imaging, statistics, and machine learning. These advancements have developed optimal transport into an extensive framework with a large set of theoretical and computational tools that can be used to address problems in the areas of systems, control, and estimation. This special issue is organized to introduce optimal transport to a larger audience in the control community and summarize some of the recent progress in the field. The four articles in this issue present both theoretical and computational results, with a focus on the aspects relevant to the field of systems and control.

中文翻译:


控制和估计应用的最佳传输



近几十年来,无论是在系统和控制领域,还是在信号处理、医学成像、统计学和机器学习等其他领域,优化传输的理论和方法都得到了快速发展。这些进步将最优传输发展成一个广泛的框架,具有大量的理论和计算工具,可用于解决系统、控制和估计领域的问题。本期特刊旨在向控制界的更多受众介绍最佳传输,并总结该领域的一些最新进展。本期的四篇文章介绍了理论和计算结果,重点关注与系统和控制领域相关的方面。
更新日期:2021-07-20
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