Abstract
Various structural measures against vibration and noise were taken in a training ship, 'Oshima maru'. However, unpleasant sound persisted in the mess hall where crews take their breaks. In order to reduce the noise, an optimal active controller was investigated to satisfy the causality constraint in their update. Some of them are preconditioned using the inverse of the plant because the convergence rate of its algorithm is limited by the dynamics and coupling within the plant response. They are compared under the same conditions to investigate differences in their properties and corrected for satisfying the causality on their update processes. After the results of investigating the convergence speed in various gradient descent adaptationion algorithms are integrated. the active control of ship interior noise can be applied.
