Model-Based Monitoring and Statistical Control

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, helping to expalin fluctuations of stochastic phenomena through spectral analysis methods and statistical modeling.

Autorentext

The late Kohei Ohtsu was a Professor Emeritus of Tokyo University of Marine Science and Technology. He has served as Vice President of Tokyo University of Mercantile Marine, Captain of the Training Ship Shioji Maru of the University, and President of Ohtsu Maritime Institute, Co. Ltd. His main research interests include statistical analysis of ship motion and optimal steering, ship maneuverability and practical application of ship-to-shore communication and ship operation data monitoring. He received awards from The Society of Naval Architects of Japan, Japan Institute of Navigation, The Society of Instrument and Control Engineers and the Japan Society of Naval Architects and Ocean Engineers, etc. He passed away in 2016 at the age of 72.

Genshiro Kitagawa is a professor emeritus of The Institute of Statistical Mathematics, and of Graduate University for Advanced Study, former President of the Research Organization of Information and Systems, and the former Director-General of the Institute of Statistical Mathematics. His primary research interests are time series modeling, nonlinear filtering and statistical modeling. He is the author of several English books on time series analysis and information criteria. He was awarded the Japan Statistical Society Prize and Ishikawa Prize, etc. and is a Fellow of the American Statistical Association.

Inhalt

Preface

1. Prologue

Part 1: Concept of Spectrum and its Estimation Methods

2. Covariance Function and Spectrum

3. Fourier Transform and its Properties

4. Statistical Estimation of Spectrum

5. Analysis of Linear Systems

6. Cross-Spectrum Analysis of Ship and Engine Motions in Waves

Part 2: Applications of Time Series Statistical Models

7. Continuous and Discrete Time Series

8. Autoregressive Modeling of Ship and Engine Motions

9. Monitoring of Slowly Changing Ship and Engine Motions

10. Analysis and Prediction of Ship and Engine Motions Using State-Space Models

11. Estimation of Trend and Seasonal Adjustment Models and Time-Varying Spectrum

12. Classification of Ship and Engine Motion Time Series

13. On Shore Simulation of Ship's Motions at Sea

14. Multivariate Autoregressive Model and Statistical Analysis of Ship and Engine Motions

15. Optimal Control of Ships by Statistical Modeling

Part 3: For a Better Understanding

16. Introduction to Maneuvering, Ship Motions, and Propulsion Theory

17. Basics of Probability

18. Kalman Filter

19. Statistical Optimal Control Theory

Bibliography

Index