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Unmanned underwater vehicles have become an important tool for various underwater tasks because they have greater speed, endurance and depth capability as well as a higher factor of safety than human divers. However, most vehicle control systems were designed based on a simplified vehicle model and they often resulted in poor performance because of the nonlinear and time-varying vehicle dynamics having parameter uncertainties. This paper describes a new adaptive and learning (AL) control system.