The multi-input=multi-output (MIMO) systems usually possess characteristics of nonlinear dynamics coupling. Therefore, the di culty of MIMO systems control is how to overcome the coupling e ects among each degree of freedom. The model-based decoupling approach is not practical for real-time control due to computation burden and dynamic uncertainty of MIMO systems. Hence, a mixed fuzzy controller (MFC) is proposed here to solve this problem and to improve control performance. Firstly, a traditional fuzzy controller (TFC) is designed based on single-input=single-output (SISO) systems point of view for controlling each degree of freedom of a MIMO system. Secondly, according to the characteristics of the system's dynamics coupling, an appropriate coupling fuzzy controller is incorporated into a TFC to compensate for coupling e ects among each degree of freedom. This control strategy can not only simplify the implementation problem of fuzzy control, but can also improve control performance. In order to evaluate the stability and robustness of this mixed fuzzy controller, the state-space approach of fuzzy control systems stability analysis is employed for further expansion. In addition, a dynamic absorber with two-level mass-spring damper structure was designed and constructed to verify the stability and robustness of an MFC by numerical simulation, and to investigate the control performance by comparing the experimental results of the MFC with that of a TFC for this MIMO system.