控制、生物工程和神经科学中的内部模型

Michelangelo Bin, Jie Huang, A. Isidori, L. Marconi, M. Mischiati, Eduardo Sontag
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引用次数: 15

摘要

如今,内部模型通常用于不同的科学和工程领域,以描述生物体或人工计算单元如何嵌入其获得的关于周围环境中发生的重复事件的知识。本文回顾了控制理论、生物工程和神经科学中的内模原理,阐述了近几十年来研究的基本概念和理论发展。预计《控制、机器人和自主系统年度评论》第5卷的最终在线出版日期是2022年5月。修订后的估计数请参阅http://www.annualreviews.org/page/journal/pubdates。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Internal Models in Control, Bioengineering, and Neuroscience
Internal models are nowadays customarily used in different domains of science and engineering to describe how living organisms or artificial computational units embed their acquired knowledge about recurring events taking place in the surrounding environment. This article reviews the internal model principle in control theory, bioengineering, and neuroscience, illustrating the fundamental concepts and theoretical developments of the few last decades of research. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 5 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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