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The first parts of this paper describe the statistical time series analysis of ship's motions. The actual time series data are identified by the uni and multi-variate autoregressive models whose orders are determined by Akaike's Information Criterion(AIC). Various functions to analyse the ship's motions are defined in time and frequency domains and some salient features of ship's motions are derived from the time series data of the actual ship's motions. The latter half parts are contributed to the control problems of ship's heading to the given course and tracking ones along the given line and the regulation of main engine propeller rpm. All methods are corroborated by actual experiments on board.