Time Series Modeling for Analysis and Control: Advanced Autopilot and Monitoring Systems - Tapa blanda

Sinopsis

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).

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