State space

Known as: Frame of discernment, State space (dynamical system), Clumping 
In the theory of discrete dynamical systems, a state space is the set of values which a process can take. For example, a system in queueing theory… (More)
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Papers overview

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Review
2017
Review
2017
Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the… (More)
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Highly Cited
2005
Highly Cited
2005
The particle filter offers a general numerical tool to approximate the posterior density function for the state in nonlinear and… (More)
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Highly Cited
2005
Highly Cited
2005
Remotely sensed tracking data collected on animal movement is vastly underutilized due to a lack of statistical tools for… (More)
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Highly Cited
2004
Highly Cited
2004
We consider a generalized switch model, which includes as special cases the model of multiuser data scheduling over a wireless… (More)
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Highly Cited
2003
Highly Cited
2003
The tool described here is the first part of a tool set called GROOVE (GRaphbased Object-Oriented VErification) for software… (More)
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Highly Cited
2003
Highly Cited
2003
A widely used signal processing paradigm is the state-space model. The state-space model is defined by two equations: an… (More)
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Highly Cited
1994
Highly Cited
1994
-In this paper we describe two algorithms to identify a linear, time-invariant, finite dimensional state space model from input… (More)
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Highly Cited
1989
Highly Cited
1989
The "stubborn set" theory and method for generating reduced state spaces is presented. The theory takes advantage of concurrency… (More)
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Highly Cited
1978
Highly Cited
1978
Doubly-indexed dynamical systems provide a state space realization of two-dimensional filters which includes previous state… (More)
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Highly Cited
1976
Highly Cited
1976
Let (0, 9 be two states of a *-algebra and let us consider representations of this algebra R for which o and p are realized as… (More)
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