Overview
- Presents a practical time series method for designing various type of optimal controllers of very complex, large, and noisy systems
- Shows how various types of commercial autopilot systems have been already developed based on a practical time series method
- Provides a practical statistical method of analyzing feedback systems
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
Part of the book sub series: JSS Research Series in Statistics (JSSRES)
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Table of contents (4 chapters)
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Time Series Modeling for Analysis and Control
Book Subtitle: Advanced Autopilot and Monitoring Systems
Authors: Kohei Ohtsu, Hui Peng, Genshiro Kitagawa
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-4-431-55303-8
Publisher: Springer Tokyo
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2015
Softcover ISBN: 978-4-431-55302-1Published: 01 April 2015
eBook ISBN: 978-4-431-55303-8Published: 19 March 2015
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: IX, 119
Number of Illustrations: 63 b/w illustrations, 14 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics and Computing/Statistics Programs, Statistical Theory and Methods