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Decentralized multivariate identification of interconnected systems by a stochastic subspace method

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2 Author(s)
C. P. Bottura ; LCSI, DMCSI-FEEC-UNICAMP, Campinas, Brazil ; A. F. Torrico Caceres

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 (1999) 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.

Published in:

Decision and Control, 2002, Proceedings of the 41st IEEE Conference on  (Volume:4 )

Date of Conference:

10-13 Dec. 2002