Linear Stochastic Systems: A Geometric Approach to Modeling, Estimation and Identification
Author:   Anders Lindquist ,  Giorgio Picci
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   1
ISBN:  

9783662526187


Pages:   781
Publication Date:   29 October 2016
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Linear Stochastic Systems: A Geometric Approach to Modeling, Estimation and Identification


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Author:   Anders Lindquist ,  Giorgio Picci
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   1
Dimensions:   Width: 15.50cm , Height: 4.00cm , Length: 23.50cm
Weight:   1.205kg
ISBN:  

9783662526187


ISBN 10:   3662526182
Pages:   781
Publication Date:   29 October 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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The purpose of this book is to present the mathematical background necessary for understanding the linear state-space modeling of second-order random processes and its applications to estimation and identification theory. ... this monograph is an excellent reference for researchers interested in geometric theory of stochastic realization and its applications. (Viorica M. Ungureanu, Mathematical Reviews, January, 2016)


The purpose of this book is to present the mathematical background necessary for understanding the linear state-space modeling of second-order random processes and its applications to estimation and identification theory. ... this monograph is an excellent reference for researchers interested in geometric theory of stochastic realization and its applications. (Viorica M. Ungureanu, Mathematical Reviews, January, 2016) The book offers a unified view of the subject based on ideas from Hilbert space geometry using a coordinate-free methodology ... the book provides the mathematical tools needed to grasp and analyze the structures of algorithms in stochastic systems theory and will be of interest to researches in control theory. (IEEE Control Systems Magazine, Vol. 5, October, 2015)


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