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Generalized least squares innovation representation

โœ Scribed by I. Bencsik; Gy. Michaletzky


Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
380 KB
Volume
15
Category
Article
ISSN
0898-1221

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๐Ÿ“œ SIMILAR VOLUMES


Generalized least squares innovation rep
โœ I. Bencsik; Gy. Michaletzky ๐Ÿ“‚ Article ๐Ÿ“… 1988 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 414 KB

In this paper we shouldlike to give a unified approach to the stochastic realization problem of finite dimensional discrete time stochastic systems . The generalized least squares innovation representation /GLS IR/ developed in the paper has diagonal error covariance matrix in tie state space and or

General fuzzy least squares
โœ Ma Ming; Menahem Friedman; Abraham Kandel ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 468 KB

A model for least-squares fitting of fuzzy-valued data is described. A previous process obtained for triangular fuzzy numbers is generalized and improved to include all fuzzy numbers represented by single maxima piecewise continuous functions with compact support. The new model is compared with the