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Robust Kalman Filtering Signals by Ian Petersen (32 results)
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Condition: New. pp. x + 200 1st Edition.
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Robust Kalman Filtering for Signals and Systems with Large Uncertainties (Control Engineering)
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Robust Kalman Filtering for Signals and Systems with Large Uncertainties (Paperback)
Published by Springer-Verlag New York Inc., New York, 2012
ISBN 10: 1461272092 ISBN 13: 9781461272090
Language: English
Paperback. Condition: new. Paperback. A significant shortcoming of the state space control theory that emerged in the 1960s was its lack of concern for the issue of robustness. However, in the design of feedback control systems, robustness is a critical issue. These facts led to great activity in the research area of robust control theory. One of the major developments of modern control theory was the Kalman Filter and hence the development of a robust version of the Kalman Filter has become an active area of research. Although the issue of robustness in filtering is not as critical as in feedback control (where there is always the issue of instability to worry about), research on robust filtering and state estimation has remained very active in recent years. However, although numerous books have appeared on the topic of Kalman filtering, this book is one of the first to appear on robust Kalman filtering. Most of the material presented in this book derives from a period of research collaboration between the authors from 1992 to 1994. However, its origins go back earlier than that. The first author (LR. P. ) became in terested in problems of robust filtering through his research collaboration with Dr. Duncan McFarlane. At this time, Dr. McFarlane was employed at the Melbourne Research Laboratories ofBHP Ltd. , a large Australian min erals, resources, and steel processing company. Although the issue of robustness in filtering is not as critical as in feedback control (where there is always the issue of instability to worry about), research on robust filtering and state estimation has remained very active in recent years. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Robust Kalman Filtering for Signals and Systems with Large Uncertainties (Control Engineering)
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Robust Kalman Filtering for Signals and Systems With Large Uncertainties
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Robust Kalman Filtering for Signals and Systems With Large Uncertainties
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Condition: New. pp. 220.
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Add to basketGebundene Ausgabe. Condition: Gut. 1. Auflage, 1999, Bibliotheksexemplar * Einband: leichte Lagerspuren * Seiten: wie ungelesen.
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Robust Kalman Filtering for Signals and Systems with Large Uncertainties
Published by Birkhäuser, Birkhäuser, 2012
ISBN 10: 1461272092 ISBN 13: 9781461272090
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - A significant shortcoming of the state space control theory that emerged in the 1960s was its lack of concern for the issue of robustness. However, in the design of feedback control systems, robustness is a critical issue. These facts led to great activity in the research area of robust control theory. One of the major developments of modern control theory was the Kalman Filter and hence the development of a robust version of the Kalman Filter has become an active area of research. Although the issue of robustness in filtering is not as critical as in feedback control (where there is always the issue of instability to worry about), research on robust filtering and state estimation has remained very active in recent years. However, although numerous books have appeared on the topic of Kalman filtering, this book is one of the first to appear on robust Kalman filtering. Most of the material presented in this book derives from a period of research collaboration between the authors from 1992 to 1994. However, its origins go back earlier than that. The first author (LR. P. ) became in terested in problems of robust filtering through his research collaboration with Dr. Duncan McFarlane. At this time, Dr. McFarlane was employed at the Melbourne Research Laboratories ofBHP Ltd. , a large Australian min erals, resources, and steel processing company.
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Robust Kalman Filtering for Signals and Systems with Large Uncertainties
Published by Springer, Basel|Birkhäuser Basel, 1999
ISBN 10: 0817640894 ISBN 13: 9780817640897
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Robust Kalman Filtering for Signals and Systems with Large Uncertainties (Paperback)
Published by Springer-Verlag New York Inc., New York, 2012
ISBN 10: 1461272092 ISBN 13: 9781461272090
Language: English
US$ 199.95
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Add to basketPaperback. Condition: new. Paperback. A significant shortcoming of the state space control theory that emerged in the 1960s was its lack of concern for the issue of robustness. However, in the design of feedback control systems, robustness is a critical issue. These facts led to great activity in the research area of robust control theory. One of the major developments of modern control theory was the Kalman Filter and hence the development of a robust version of the Kalman Filter has become an active area of research. Although the issue of robustness in filtering is not as critical as in feedback control (where there is always the issue of instability to worry about), research on robust filtering and state estimation has remained very active in recent years. However, although numerous books have appeared on the topic of Kalman filtering, this book is one of the first to appear on robust Kalman filtering. Most of the material presented in this book derives from a period of research collaboration between the authors from 1992 to 1994. However, its origins go back earlier than that. The first author (LR. P. ) became in terested in problems of robust filtering through his research collaboration with Dr. Duncan McFarlane. At this time, Dr. McFarlane was employed at the Melbourne Research Laboratories ofBHP Ltd. , a large Australian min erals, resources, and steel processing company. Although the issue of robustness in filtering is not as critical as in feedback control (where there is always the issue of instability to worry about), research on robust filtering and state estimation has remained very active in recent years. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Robust Kalman Filtering for Signals and Systems with Large Uncertainties ISBN 10: 0817640894 / ISBN 13: 9780817640897
Published by Springer, Basel Birkhäuser, 1999
Language: English
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First Edition
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Add to basketOriginalpappband. 23cm. Condition: Wie neu. First edition. X,200 Index. In EXCELLENT shape.- BEILIEGEN : ERRATA-Blätter vom Verlag, 4 Seiten. ( we offer a lot of excellent books on PHYSICS and MATHEMATICS on our HP in EXCELLENT SHAPE ) Sprache: Englisch Gewicht in Gramm: 505.
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Robust Kalman Filtering for Signals and Systems with Large Uncertainties
Published by Springer-Verlag New York Inc., 2012
ISBN 10: 1461272092 ISBN 13: 9781461272090
Language: English
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 343.
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Robust Kalman Filtering for Signals and Systems with Large Uncertainties
Published by SPRINGER NATURE Nov 1999, 1999
ISBN 10: 0817640894 ISBN 13: 9780817640897
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 220 pp. Englisch.
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Robust Kalman Filtering for Signals and Systems with Large Uncertainties
Published by Birkhauser Boston Inc, 1999
ISBN 10: 0817640894 ISBN 13: 9780817640897
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 450.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A significant shortcoming of the state space control theory that emerged in the 1960s was its lack of concern for the issue of robustness. However, in the design of feedback control systems, robustness is a critical issue. These facts led to great activity .
