Please use this identifier to cite or link to this item:
|Type:||Artigo de evento|
|Title:||Decentralized Multivariate Identification Of Interconnected Systems By A Stochastic Subspace Method|
Torrico Caceres A.F.
|Abstract:||In this work an identification methodology for decentralized multivariate identification of serial interconnected systems by a stochastic subspace method is proposed. The global system identification is made through the individual identification of these subsystems. In this identification methodology, input/output data for each subsystem is necessary. The constrained least-squares stochastic subspace identification method (CLS-SSI) of Katayama and Picci is used as a tool for identification of the subsystems. An application to a river water quality modeling problem is proposed and results are presented.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.