Robust Kalman Filtering for Signals and Systems with Large Uncertainties (Control Engineering) - Tapa dura

Libro 2 de 12: Control Engineering

Savkin, Andrey V.; Petersen, Ian R.

 
9780817640897: Robust Kalman Filtering for Signals and Systems with Large Uncertainties (Control Engineering)
Tapa dura
ISBN 10: 0817640894 ISBN 13: 9780817640897
Editorial: Birkhäuser, 1999

Sinopsis

1 Introduction.- 2 Continuous-Time Quadratic Guaranteed Cost Filtering.- 3 Discrete-Time Quadratic Guaranteed Cost Filtering.- 4 Continuous-Time Set-Valued State Estimation and Model Validation.- 5 Discrete-Time Set-Valued State Estimation.- 6 Robust State Estimation with Discrete and Continuous Measurements.- 7 Set-Valued State Estimation with Structured Uncertainty.- 8 Robust H? Filtering with Structured Uncertainty.- 9 Robust Fixed Order H? Filtering.- 10 Set-Valued State Estimation for Nonlinear Uncertain Systems.- 11 Robust Filtering Applied to Induction Motor Control.- References.

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Críticas

"The book is primarily a research monograph which presents, in a unified fashion, some recent research on robust Kalman filtering. The book is intended for researchers in robust control and filtering theory, advanced postgraduate students, and engineers with an interest in applying the latest techniques of robust Kalman filtering. Robust Kalman filtering extends the Kalman filtering and the extended Kalman filtering to systems that contain uncertain parameters in addition to the usual white Gaussian noise.... Several examples are given, showing the robust Kalman filters outperforming the regular Kalman filter or the extended Kalman filter. Each of the first ten chapters covers a specific topic, usually with a major theorem characterizing the robust filter followed by an example. The final chapter addresses its application to a particular problem." —Zentralblatt Math

Reseña del editor

The Kalman Filter gives an optimal estimate of the state of the given process based on output measurements. The aim of this text is to cover the theory of robust state estimation for the case in which the process model contains significant uncertainties and non-linearities.

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Editorial
Birkhäuser
Año de publicación
1999
Idioma
Inglés
ISBN 10 
0817640894
ISBN 13 
9780817640897
Encuadernación
Tapa dura
Número de páginas
220
Contacto del fabricante
Springer Nature Customer Service Center GmbH
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Heidelberg
69115
Alemania

Otras ediciones populares con el mismo título

9781461272090: Robust Kalman Filtering for Signals and Systems with Large Uncertainties (Control Engineering)

Edición Destacada

ISBN 10:  1461272092 ISBN 13:  9781461272090
Editorial: Birkhäuser, 2012
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