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Time Series Modeling for Analysis and Control
Ohtsu, Kohei; Peng, Hui; Kitagawa, Genshiro
€ 60.95
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Description for Time Series Modeling for Analysis and Control
Paperback. Series: SpringerBriefs in Statistics. Num Pages: 128 pages, 63 black & white illustrations, 14 colour illustrations, 8 black & white tables, biograph. BIC Classification: PBT; TRLN; UFM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 236.
This book presents multivariate time series methods for the analysis and optimal control of feedback systems. Although ships’ autopilot systems are considered through the entire book, the methods set forth in this book can be applied to many other complicated, large, or noisy feedback control systems for which it is difficult to derive a model of the entire system based on theory in that subject area. The basic models used in this method are the multivariate autoregressive model with exogenous variables (ARX) model and the radial bases function net-type coefficients ARX model. The noise contribution analysis can then be performed ... Read more
This book presents multivariate time series methods for the analysis and optimal control of feedback systems. Although ships’ autopilot systems are considered through the entire book, the methods set forth in this book can be applied to many other complicated, large, or noisy feedback control systems for which it is difficult to derive a model of the entire system based on theory in that subject area. The basic models used in this method are the multivariate autoregressive model with exogenous variables (ARX) model and the radial bases function net-type coefficients ARX model. The noise contribution analysis can then be performed ... Read more
Product Details
Format
Paperback
Publication date
2015
Publisher
Springer Verlag, Japan Japan
Number of pages
128
Condition
New
Series
SpringerBriefs in Statistics
Number of Pages
119
Place of Publication
Tokyo, Japan
ISBN
9784431553021
SKU
V9784431553021
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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