Authors:
- Maximizes reader insights into stochastic modeling, estimation, system identification, and time series analysis
- Reveals the concepts of stochastic state space and state space modeling to unify the idea
- Supports further exploration through a unified and logically consistent view of the subject
Part of the book series: Series in Contemporary Mathematics (SCMA, volume 1)
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Table of contents (17 chapters)
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Front Matter
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Back Matter
About this book
Reviews
“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)
Authors and Affiliations
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Department of Mathematics, Royal Institute of Technology, Stockholm, Sweden
Anders Lindquist
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Department of Information Engineering, University of Padova, Padova, Italy
Giorgio Picci
Bibliographic Information
Book Title: Linear Stochastic Systems
Book Subtitle: A Geometric Approach to Modeling, Estimation and Identification
Authors: Anders Lindquist, Giorgio Picci
Series Title: Series in Contemporary Mathematics
DOI: https://doi.org/10.1007/978-3-662-45750-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-662-45749-8Published: 11 May 2015
Softcover ISBN: 978-3-662-52618-7Published: 29 October 2016
eBook ISBN: 978-3-662-45750-4Published: 24 April 2015
Series ISSN: 2364-009X
Series E-ISSN: 2364-0103
Edition Number: 1
Number of Pages: XV, 781
Number of Illustrations: 37 b/w illustrations
Topics: Systems Theory, Control, Probability Theory and Stochastic Processes, Control and Systems Theory