| 书目名称 | Time Series Modeling for Analysis and Control | | 副标题 | Advanced Autopilot a | | 编辑 | Kohei Ohtsu,Hui Peng,Genshiro Kitagawa | | 视频video | | | 概述 | 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 al | | 丛书名称 | SpringerBriefs in Statistics | | 图书封面 |  | | 描述 | 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 through the estimated autoregressive (AR) model and various types of autopilot systems can be designed through the state–space representation of the models. The marine autopilot systems addressed in this book include optimal controllers for course-keeping motion, rolling reduction controllers with rudder motion, engine governor controllers, noise adaptive autopilots, route-tracking controllers by direct steering, and the reference course-setting approach. The methods presented here are exemplified with real data analysis and experiments on real ships. This | | 出版日期 | Book 2015 | | 关键词 | Autopilot and Route Tracking system; Autoregressive model with exogenous variables; Model order and va | | 版次 | 1 | | doi | https://doi.org/10.1007/978-4-431-55303-8 | | isbn_softcover | 978-4-431-55302-1 | | isbn_ebook | 978-4-431-55303-8Series ISSN 2191-544X Series E-ISSN 2191-5458 | | issn_series | 2191-544X | | copyright | The Author(s) 2015 |
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发表于 2025-3-21 18:15:50
