STOCHASTIC REALIZATION WITH EXOGENOUS INPUTS AND SUBSPACE-METHODS IDENTIFICATION

Picci G.; Katayama T.

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STOCHASTIC REALIZATION WITH EXOGENOUS INPUTS AND SUBSPACE-METHODS IDENTIFICATION

机译：STOCHASTIC REALIZATION WITH EXOGENOUS INPUTS AND SUBSPACE-METHODS IDENTIFICATION

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In this paper we study stochastic realization of stationary processes with exogenous inputs in the absence of feedback and we briefly discuss its application to identification. In particular, we derive and characterize the family of minimal state-space models of such processes and introduce a very natural block structure which is generically minimal. This model structure leads very naturally to 'subspace'-based identification algorithms which have a simpler structure of those existing in the literature. References: 34

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《Signal Processing: The Official Publication of the European Association for Signal Processing (EURASIP)》 |1996年第2期|145-160|共16页
作者
Picci G.; Katayama T.;
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作者单位

UNIV PADUA DIPARTIMENTO ELETTRON & INFORMAT I-35131 PADUA ITALY;

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原文格式 PDF
正文语种英语
中图分类通信;
关键词
Stochastic realization; Stochastic systems with exogenous inputs; Subspace-methods identification; Canonical correlation analysis; State-space models; Feedback; Algorithms; Systems; Online;

STOCHASTIC REALIZATION WITH EXOGENOUS INPUTS AND SUBSPACE-METHODS IDENTIFICATION

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