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SIAM Journal on Control and Optimization
Article . 2010 . Peer-reviewed
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DBLP
Article . 2010
Data sources: DBLP
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Linear Stochastic State Space Theory in the White Noise Space Setting

Authors: Daniel Alpay; David Levanony; Ariel Pinhas;

Linear Stochastic State Space Theory in the White Noise Space Setting

Abstract

We study linear stochastic state space equations within the white noise space setting. A commutative ring of power series in a countable number of variables plays an important role. Transfer functions are rational functions with coefficients in this commutative ring and are characterized in a number of ways. A major feature in our approach is the observation that key characteristics of a linear, time invariant, stochastic system are determined by the corresponding characteristics associated with the deterministic part of the system, namely, its average behavior.

Country
United States
Related Organizations
Keywords

Wick product, Algebra, random systems, Discrete Mathematics and Combinatorics, state space equations, systems over commutative rings, white noise space, Other Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%
bronze