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Highly Cited

2008

Highly Cited

2008

I. Introduction: Basic concepts.- Getting started. II. Essentials: Linear innovations state space models.- Non-linear and… Expand

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Highly Cited

2005

Highly Cited

2005

Remotely sensed tracking data collected on animal movement is vastly un- derutilized due to a lack of statistical tools for… Expand

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Highly Cited

2005

Highly Cited

2005

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

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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… Expand

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Highly Cited

2001

Highly Cited

2001

This excellent text provides a comprehensive treatment of the state space approach to time series analysis. The distinguishing… Expand

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Highly Cited

1994

Highly Cited

1994

This paper presents all controllers for the general H∞ control problem (with no assumptions on the plant matrices). Necessary and… Expand

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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… Expand

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Highly Cited

1989

Highly Cited

1989

Many neural network learning procedures compute gradients of the errors on the output layer of units after they have settled to… Expand

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Highly Cited

1987

Highly Cited

1987

From the Publisher:
One thesis of this book is that state-space methods can be presented in a style that can be grasped by the… Expand

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Highly Cited

1976

Highly Cited

1976

Let ω,ϱ be two states of a ∗-algebra and let us consider representations of this algebra R for which ω and ϱ are realized as… Expand

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