# State space

## Papers overview

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Review

2017

Review

2017

- ArXiv
- 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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2005

Highly Cited

2005

- IEEE Transactions on Signal Processing
- 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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2005

Highly Cited

2005

- 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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2004

Highly Cited

2004

- 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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2003

Highly Cited

2003

- AGTIVE
- 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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2003

Highly Cited

2003

- Neural Computation
- 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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1994

Highly Cited

1994

- Automatica
- 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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1989

Highly Cited

1989

- Applications and Theory of Petri Nets
- 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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1978

Highly Cited

1978

- Mathematical systems theory
- 1978

Doubly-indexed dynamical systems provide a state space realization of two-dimensional filters which includes previous state… (More)

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1976

Highly Cited

1976

- 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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