Includes bibliographical references (p. 114-115) and index
CONTENTS NOTE
Text of Note
Ch1 Introduction (1.1 Necessity of statistical modeling for complex, large systems -- 1.2 Model of ship motion and main engine -- 1.3 Experimental ships and outline of topics discussed in remaining chapters) -- Ch2 Time series analysis through AR modeling (2.1 Univariate time series analysis through AR modeling -- 2.2 Analysis of ship motion through univariate AR modeling -- 2.3 Multivariate AR modeling of controlled systems -- 2.4 Power contribution analysis of a feedback system -- 2.5 State-space model and Kalman filter -- 2.6 Piecewise stationary modeling -- 2.7 Model-based monitoring system -- 2.8 RBF-ARX modeling for a nonlinear system) -- Ch3 Design of a model-based autopilot system for course keeping motion (3.1 Statistical optimal controller based on the ARX model -- 3.2 AR model-based autopilot system -- 3.3 Rudder-roll control system -- 3.4 Application to the marine main engine governor system) -- Ch4 Advanced autopilot systems (4.1 Noise-adaptive autopilot system -- 4.2 RBF-ARX model-based predictive control -- 4.3 GPS signal-based computation of a ship's tracking error and course deviation -- 4.4 Tracking control approach to marine vehicles)