Purpose <p>This paper focuses on the anti-resonance vibration isolation system. In response to the limitation of the narrow effective vibration isolation bandwidth in traditional anti-resonance vibration isolation, a more effective vibration isolator is proposed.</p> Methods <p>This study designs an anti-resonance vibration isolation system with a tunable anti-resonance frequency by imbedding a movable mass block into the resonant beam based on the SARIB system. Additionally, by employing a multi-BP neural network algorithm, frequency-following control of the mass block based on the external excitation frequency is achieved, reducing the displacement of the mass block and enhancing the response speed of vibration isolation.</p> Results <p> The effectiveness of the proposed model and control strategy was validated through vibration-damping tests under varying excitation frequencies. Within the experimental frequency range, compared to the vibration isolation efficiency at the initial position of the mass block, the system’s vibration isolation efficiency improved by 70% to 150% under different external excitation frequencies. The results demonstrated that the approach successfully mitigates vibrations across a wider range of frequencies compared to traditional methods.</p> Conclusion <p>The findings of this study indicate that the integrated vibration isolation system proposed in this paper, by adapting to varying frequencies, offers significant improvements over existing solutions in practical scenarios, ensuring superior vibration reduction performance.</p>