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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Distributed estimation for nonlinear systems.

Authors: MEKHAIL, MATTEO;

Distributed estimation for nonlinear systems.

Abstract

In a classical distributed framework, we present a novel distributed observer for nonlinear continuous-time plants. A network of sensors monitors a Multi-Inputs- Multi-Outputs plant. Each sensor measures only a portion of the plant’s outputs and the sensing capability is different from sensor to sensor. The standing assumption of strongly connected digraph on the underlying sensor network ensures robustness and direct communication paths between nodes. Moreover, incremental homogeneity assumptions on the plant establishes a very large class of nonlinear systems for which a distributed observer can be designed. The distributed observer consists of a local observers associated with each sensor, which estimate asymptotically the entire state of the plant only by using the local sensing capability and information exchanged through the communication network.

Country
Italy
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Keywords

distributed estimation; nonlinear systems; asymptotic omniscience

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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!
0
Average
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