Authors:
- Presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular
- First book devoted to large deviations to system identification
- Application oriented
Part of the book series: SpringerBriefs in Mathematics (BRIEFSMATH)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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, Department of Mathematics, University of California, Irvine, USA
Qi He
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, Department of Electrical & Computer Eng, Wayne State University, Detroit, USA
Le Yi Wang
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, Department of Mathematics, Wayne State University, Detroit, USA
G. George Yin
Bibliographic Information
Book Title: System Identification Using Regular and Quantized Observations
Book Subtitle: Applications of Large Deviations Principles
Authors: Qi He, Le Yi Wang, G. George Yin
Series Title: SpringerBriefs in Mathematics
DOI: https://doi.org/10.1007/978-1-4614-6292-7
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Qi He, Le Yi Wang, and G. George Yin 2013
Softcover ISBN: 978-1-4614-6291-0Published: 08 February 2013
eBook ISBN: 978-1-4614-6292-7Published: 11 February 2013
Series ISSN: 2191-8198
Series E-ISSN: 2191-8201
Edition Number: 1
Number of Pages: XII, 95
Number of Illustrations: 1 b/w illustrations, 16 illustrations in colour
Topics: Systems Theory, Control, Control and Systems Theory, Probability Theory and Stochastic Processes