Mechatronics systems are widely used in modern industries, and with the advancement of technology, the complexity and functional requirements of the systems are increasing. In this study, a vibration suppressionbased adaptive controller (VS-MRAC) is proposed for enhancing the vibration control performance of mechatronic systems. First, an adaptive decomposition method is used to reduce the noise of the vibration signal, and the controller design is optimized by combining the principle of minimum information quantity. The effectiveness of the proposed method in trajectory tracking and vibration suppression is verified through simulation analysis. In the comparison experiments, the VS-MRAC controller is able to significantly reduce the platform amplitude after 7 seconds and reach the steady state within 25 seconds, which provides superior control performance compared to the traditional PD controller. Specifically, the system vibration amplitude is significantly reduced with the proposed controller, and it is more robust to the system model uncertainty. Simulation results show that the VS-MRAC controller is able to reduce the burden on the controller while maintaining high accuracy, and improve the efficiency and safety of the mechatronic system. The method has strong applicability and popularization value, especially in the practical application of high-precision vibration control.