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pro vyhledávání: '"A. R. Olfati"'
Autor:
A. R. Olfati
Publikováno v:
Commentationes Mathematicae Universitatis Carolinae. 57:253-260
In this short article we answer the question posed in Ghadermazi M., Karamzadeh O.A.S., Namdari M., On the functionally countable subalgebra of $C(X)$, Rend. Sem. Mat. Univ. Padova 129 (2013), 47--69. It is shown that $C_c(X)$ is isomorphic to some r
Publikováno v:
Journal of Algebra and Its Applications. 19:2050078
In this paper, we introduce the concept of [Formula: see text]-semisimple modules. We prove that a multiplication reduced module is [Formula: see text]-semisimple if and only if it is a Baer module. We show that a large family of abelian groups are [
Publikováno v:
Cell and tissue banking. 15(3)
The present study was conducted to determine the effect of reduced glutathione (GSH) and superoxide dismutase (SOD) supplementation in the bull semen freezing extender on post-thaw parameters of Holstein and Simmental bull sperm. Semen were collected
We analyze the performance of an approximate distributed Kalman filter proposed in recent work on distributed coordination. This approach to distributed estimation is novel in that it admits a systematic analysis of its performance as various network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4366b2cf5b14d8b898e4eedc7e32454b
https://resolver.caltech.edu/CaltechAUTHORS:SPAipsn05
https://resolver.caltech.edu/CaltechAUTHORS:SPAipsn05
Autor:
R. Olfati-Saber
Publikováno v:
Proceedings of North American Fuzzy Information Processing.
We propose an iterative definition of mean aggregation, based on fuzzy bases for n-dimensional positive real vectors. We introduce four fuzzy similarity measures, which are called left similarity, right similarity, relative similarity, and geometrica
Akademický článek
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Publikováno v:
CDC
This paper considers the problem of designing distributed fault diagnosis algorithms for dynamic systems using sensor networks. A network of distributed estimation agents is designed where a bank of local Kalman filters is embedded into each sensor.