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Time Series Modeling for Analysis and Control Advanced Autopilot and Monitoring Systems by Kohei Ohtsu - Paperback
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PRODUCT INFORMATION

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    Specifications

    Category Type
    Mathematics
    ISBN
    9784431553021
    Item EAN
    2724444992100
    People
    Author
    Various
    People
    Publisher
    Springer International Publishing AG
    Category Type
    Mathematics
    ISBN
    9784431553021
    Item EAN
    2724444992100
    People
    Author
    Various
    People
    Publisher
    Springer International Publishing AG
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    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

    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.

    Product Features:
    • Category Type: Mathematics
    • Author: Kohei Ohtsu, Hui Peng and Genshiro Kitagawa
    • Binding: Paperback
    • Book Language: English
    • Book Origin: Japan
    • Publisher: Springer International Publishing AG
    • Publication Year: 2015
    • ISBN: 9784431553021
    • Series: Springer Briefs in Statistics
    • Number of Pages: 128
    • Product Dimensions: 23.5 x 15.5 x 0.7 cm
    • Product Weight: 0.24 kg
 

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