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专著 “Towards Integrating Control and Information Theories”

已有 320 次阅读 2020-3-25 07:03 |个人分类:Engineering Cybernetics|系统分类:科研笔记| 控制论, 信息论, 系统论, 机器学习, 机器人

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Towards Integrating Control and Information Theories: 

From Information-Theoretic Measures to Control Performance Limitations 


By Song Fang, Jie Chen, and Hideaki Ishii


This book is an attempt towards bridging control theory and information theory to characterize the fundamental limitations of generic feedback systems; in particular, we aim to develop an information-theoretic framework to analyze the performance bounds and design trade-offs that are prevalent in all possible feedback systems. 


Towards this end, the book introduces new entropic measures compatible with the analysis of feedback control systems and studies various classes of performance limitation relations. In addition, we examine the implications of the results in the context of state estimation and correspondingly obtain generic bounds on estimation errors. 


It is also worth mentioning that, thanks to the information-theoretic analysis, the aforementioned performance limits are valid for arbitrary causal controllers or estimators, whether they be designed using conventional approaches or, say, machine learning methods (learning in the loop).


链接:https://www.springer.com/us/book/9783319492889



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