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<dc:title xml:lang="pl"><![CDATA[Nonlinear system identification using heterogeneous multiple models]]></dc:title>
<dc:creator><![CDATA[Orjuela, Rodolfo]]></dc:creator>
<dc:creator><![CDATA[Marx, Benoît]]></dc:creator>
<dc:creator><![CDATA[Ragot, José]]></dc:creator>
<dc:creator><![CDATA[Maquin, Didier]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[nonlinear system identification]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[multiple models]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[heterogeneous submodels]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[Multiple models are recognised by their abilities to accurately describe nonlinear dynamic behaviours of a wide variety of nonlinear systems with a tractable model in control engineering problems. Multiple models are built by the interpolation of a set of submodels according to a particular aggregation mechanism, with the "heterogeneous multiple model" being of particular interest.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[This multiple model is characterized by the use of "heterogeneous submodels" in the sense that their state spaces are not the same and consequently they can be of various dimensions. Thanks to this feature, the complexity of the submodels can be well adapted to that of the nonlinear system introducing flexibility and generality in the modelling stage.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[This paper deals with off-line identification of nonlinear systems based on heterogeneous multiple models. Three optimisation criteria (global, local and combined) are investigated to obtain the submodel parameters according to the expected modelling performances. Particular attention is paid to the potential problems encountered in the identification procedure with a special focus on an undesirable phenomenon called the "no output tracking effect".]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The origin of this difficulty is explained and an effective solution is suggested to overcome this problem in the identification task. The abilities of the model are finally illustrated via relevant identification examples showing the effectiveness of the proposed methods.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Korbicz, Józef (1951- ) - red.]]></dc:contributor>
<dc:contributor><![CDATA[Uciński, Dariusz - red.]]></dc:contributor>
<dc:date><![CDATA[2013]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/78814/AMCS_2013_23_1_9.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/88607/edition/78814/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:78814]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 23, number 1 (2013)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=52]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:88607]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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