NDLI: On the sample complexity of randomized approaches to the analysis and design under uncertainty

Content Provider	IEEE Xplore Digital Library
Author	Alamo, T. Tempo, R. Luque, A.
Copyright Year	2010
Description	Author affiliation: IEIIT-CNR, Politec. di Torino, Torino, Italy (Tempo, R.) \|\| Dept. de Ing. de Sist. y Autom., Univ. de Sevilla, Sevilla, Spain (Alamo, T.; Luque, A.)
Abstract	In this paper, we study the sample complexity of probabilistic methods for control of uncertain systems. In particular, we show the role of the binomial distribution for some problems involving analysis and design of robust controllers with finite families. We also address the particular case in which the design problem can be formulated as an uncertain convex optimization problem. The results of the paper provide simple explicit sample bounds to guarantee that the obtained solutions meet some pre-specified probabilistic specifications.
Starting Page	4671
Ending Page	4676
File Size	375156
Page Count	6
File Format	PDF
ISBN	9781424474264
ISSN	07431619
e-ISBN	9781424474271
DOI	10.1109/ACC.2010.5531078
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Uncertainty Control systems Uncertain systems Algorithm design and analysis Robust control Design optimization Probability distribution Design methodology Statistical learning Feedback sample complexity randomized algorithms probabilistic robustness uncertain systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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