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Conference object . 2016
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https://doi.org/10.1109/cdc.20...
Article . 2016 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2017
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New prediction approach for stabilizing time-varying systems under time-varying input delay

Authors: Mazenc, Frédéric; Malisoff, Michael;

New prediction approach for stabilizing time-varying systems under time-varying input delay

Abstract

We provide a new sequential predictors approach for the exponential stabilization of linear time-varying systems with pointwise time-varying input delays. Our method circumvents the problem of constructing and estimating distributed terms in the stabilizing control laws, allows arbitrarily large input delay bounds, and covers dynamics with uncertainties. Instead of using distributed terms, our approach to handling longer delays is to increase the number of predictors, and we obtain explicit formulas for lower bounds for the number of required predictors. The lower bounds are functions of the bounds on the delays and their derivatives. We illustrate our method using a pendulum dynamics.

Country
France
Keywords

Delay, time-varying, robustness, stability, [INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering

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    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Green