Semi-active systems with variable stiffness and damping have demonstrated excellent performance. The aim of this study is to investigate the new configuration of a semi-active single-stage nonlinear vibration isolation system with a Magneto-Rheological (MR) damper to reduce the magnitude of force transmissibility over the both resonant and non-resonant regions. The magnitude of force transmissibility is widely used to performance measurement for the isolation system. In current study, to achieve this reduction, two horizontal springs and one MR damper were added to the isolator. Theoretical analysis reveals that the nonlinear system with MR damper can produce ideal vibration isolation. However, due to the nonlinear characteristics behavior of the MR damper, conventional control algorithms to reach the desired are cumbersome. To address this issue, an artificial intelligent strategy using wavelet network and fuzzy logic controller is considered to be constructed to copy the inverse dynamics of the MR damper and the nonlinear isolator. Accordingly, simulation results demonstrated that the intelligent algorithm has acceptable performance.

具有可变刚度和阻尼的半主动式系统已展示出出色的性能。这项研究的目的是研究带有磁流变（MR）阻尼器的半主动式单级非线性振动隔离系统的新配置，以减小共振和非共振区域上的力传递幅度。传递力的大小被广泛用于隔离系统的性能测量。在当前的研究中，为实现这一降低，在隔离器中增加了两个水平弹簧和一个MR阻尼器。理论分析表明，带有MR阻尼器的非线性系统可以产生理想的隔振效果。但是，由于MR阻尼器的非线性特性，要达到所需的常规控制算法很麻烦。为了解决这个问题，提出了一种基于小波网络和模糊逻辑控制器的人工智能策略，以模仿MR阻尼器和非线性隔离器的逆动力学。因此，仿真结果表明该智能算法具有可接受的性能。