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- 000 03971cam a2200397 a 4500
- 008 240407s2024 flua b 001 0 eng
- 020 __ |a 9781032550121 |q hardback
- 020 __ |a 9781032550169 |q paperback
- 020 __ |z 9781003428565 |q ebook
- 040 __ |a HHU |b eng |c HHU |e rda
- 050 00 |a VM159 |b .O38 2024
- 082 00 |a 623.88/1 |2 23/eng/20240409
- 099 __ |a CAL 022024097514
- 100 1_ |a Ohtsu, Kohei, |e author.
- 245 10 |a Model-based monitoring and statistical control / |c Kohei Ohtsu ; translated by Genshiro Kitagawa and O2 Memorial Project.
- 260 __ |a Boca Raton : |b CRC Press Taylor & Francis Group, |c 2024.
- 300 __ |a xxv, 291 pages : |b illustrations ; |c 26 cm.
- 336 __ |a text |2 rdacontent
- 337 __ |a unmediated |2 rdamedia
- 338 __ |a volume |2 rdacarrier
- 490 0_ |a Chapman & Hall/CRC interdisciplinary statistics
- 504 __ |a Includes bibliographical references and index.
- 505 0_ |a Covariance function and spectrum -- Fourier transform and its properties -- Statistical estimation of spectrum -- Analysis of linear systems -- Cross-spectrum analysis of ship and engine motions in waves -- Continuous and discrete time series -- Autoregressive modeling of ship and engine motions -- Monitoring of slowly changing ship and engine motions -- Analysis and prediction of ship and engine motions using state-space models -- Estimation of trend and seasonal adjustment models and time-varying spectrum -- Classification of ship and engine motion time series -- On-shore simulation of ship's motions at sea -- Multivariate autoregressive model and statistical analysis of ship and engine motions -- Optimal control of ships by statistical modeling -- Introduction to maneuvering, ship motions, and propulsion theory -- Basics of probability -- Kalman filter -- Statistical optimal control theory.
- 520 __ |a Available in English for the first time, this classic and influential book by the late Kohei Otshu presents real examples of ships in motion under irregular ocean waves, how to understand the characteristics of fluctuations of stochastic phenomena through spectral analysis methods and statistical modeling. It also explains how to realize prediction and optimal control based on time series models. In recent years, the need to improve safety and reduce environmental impact in ship operations has been increasing, and the statistical methods presented in this book will be increasingly needed in the future. In addition, the recent development of innovative AI technology and high-speed communications will make it possible to adapt this method not only to ship monitoring and control, but also to any field that involves irregular fluctuations, and it is expected to contribute to solving issues that have been difficult to solve in the past. Part 1 describes classical spectral method for the analysis of stochastic phenomena. In Part 2, this book explains methods to construct time series models using the information criterion, to capture the characteristics of ship and engine motions using the model, to design a model-based monitoring system that informs navigators operating the ship and managers ashore. Furthermore, it explains statistical control method to design an autopilot system and the governor of a marine engine, while showing actual examples. Part 3 presents the basic knowledge necessary for understanding these topics of the book, namely, the basic theory of ship motion, probability and statistics, Kalman filter and statistical optimal control theory-- |c Provided by publisher.
- 650 _0 |a Stability of ships |x Mathematical models.
- 650 _0 |a Ocean waves |x Mathematical models.
- 650 _0 |a Marine engineering |x Statistical methods.
- 700 1_ |a Kitagawa, G. |q (Genshiro), |d 1948- |e translator.
- 710 2_ |a O2 Memorial Project, |e translator.