JSS Research Series in Statistics

Time Series Modeling for Analysis and Control

Advanced Autopilot and Monitoring Systems

Authors: Ohtsu, Kohei, Peng, Hui, Kitagawa, Genshiro

  • 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
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eBook $39.99
price for USA (gross)
  • ISBN 978-4-431-55303-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-4-431-55302-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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 book is highly recommended to readers who are interested in designing optimal or adaptive controllers not only of ships but also of any other complicated systems under noisy disturbance conditions.

Table of contents (4 chapters)

  • Introduction

    Ohtsu, Kohei (et al.)

    Pages 1-6

  • Time Series Analysis Through AR Modeling

    Ohtsu, Kohei (et al.)

    Pages 7-56

  • Design of a Model-Based Autopilot System for Course Keeping Motion

    Ohtsu, Kohei (et al.)

    Pages 57-81

  • Advanced Autopilot Systems

    Ohtsu, Kohei (et al.)

    Pages 83-115

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-4-431-55303-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-4-431-55302-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Time Series Modeling for Analysis and Control
Book Subtitle
Advanced Autopilot and Monitoring Systems
Authors
Series Title
JSS Research Series in Statistics
Copyright
2015
Publisher
Springer Japan
Copyright Holder
The Author(s)
eBook ISBN
978-4-431-55303-8
DOI
10.1007/978-4-431-55303-8
Softcover ISBN
978-4-431-55302-1
Series ISSN
2364-0057
Edition Number
1
Number of Pages
IX, 119
Number of Illustrations and Tables
63 b/w illustrations, 14 illustrations in colour
Topics