Journal article Open Access
Carli , Ruggero; Como , Giacomo; Frasca , Paolo; Garin , Federica
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Como , Giacomo</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Frasca , Paolo</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Garin , Federica</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.1016/j.automatica.2010.10.015</subfield> <subfield code="2">doi</subfield> </datafield> <controlfield tag="005">20190417144853.0</controlfield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="a">License Not Specified</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">article</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <controlfield tag="001">21430</controlfield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">358215</subfield> <subfield code="u">https://www.openaccessrepository.it/record/21430/files/fulltext.pdf</subfield> <subfield code="z">md5:73a0824efd9e4467236e7cc131fa94c3</subfield> </datafield> <datafield tag="500" ind1=" " ind2=" "> <subfield code="a">Funded by the European Union. Part of the European Commission FP7 Open Access pilot.</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a">International audience; Iterative distributed algorithms are studied for computing arithmetic averages over networks of agents connected through memoryless broadcast erasure channels. These algorithms do not require the agents to have any knowledge about the global network structure or size. Almost sure convergence to state agreement is proved, and the communication and computational complexities of the algorithms are analyzed. Both the number of transmissions and the number of computations performed by each agent of the network are shown to grow not faster than poly-logarithmically in the desired precision. The impact of the graph topology on the algorithms' performance is analyzed as well. Moreover, it is shown how, in the presence of noiseless communication feedback, one can modify the algorithms, significantly improving their performance versus complexity trade-off.</subfield> </datafield> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Control and Systems Engineering</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Electrical and Electronic Engineering</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Carli , Ruggero</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Distributed averaging on digital erasure networks</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2011-01-01</subfield> </datafield> </record>
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