###### Abstract
In the literature, there are more examples of AVC implementation with inertial mass actuators [20]. However, a significant challenge arises from the potential instability associated with introducing active control forces, which can destabilize the closed control loop with severe consequences [19]. Instability issues often stem from inadequate consideration of actuator dynamics in controller design [24; 25]. Strategies to mitigate instability include accounting for spillover effects under residual modes through careful placement of actuatorsand sensors. Recent advancements, such as those in [26], have improved stability margins by approximating the inversion of actuator dynamics. Additionally, an independent modal space design process for active control of floor vibrations induced by human impact excitation has been developed. In [27], a method for controlling floor vibrations caused by human activity, using a system that independently controls each mode of vibration, is presented. It incorporates a phase-lead compensator to improve stability and damping and considers the potential for spillover effects when placing actuators and sensors. The method's effectiveness in reducing vibrations was confirmed through experiments with a steel plate. Other practical issues of these actuators are the force and stroke saturation, which must be considered in the design. In [28], a novel velocity feedback control strategy is proposed to prevent the stroke saturation of inertial actuators by incorporating inner loops into a direct velocity feedback (DVF) control system. While SISO AVC systems are commonly used, for specific applications, multi-input multiple-output (MIMO) AVC schemes have been proposed. In [PERSON] et al. [29], the problem of the DVF MIMO controller was introduced to improve the results of the SISO ones. In [30], the work of [29] was improved upon by incorporating input-output frequency weighting to enhance performance and robustness. The work [31] compares three types of control systems used in engineering: direct velocity feedback, observer-based, and independent modal space controllers. These systems were analyzed based on their implementation in SISO and MIMO configurations. The advantages of using MIMO AVC in human-induced vibration are better shown in [32]. The simulation results illustrate how an optimized MIMO AVC can improve the vibration levels in real complex structures with a large number of vibration modes and a large number of test points. Another MIMO applications is [33], where an optimal fractional-order PID control design for time-delayed multi-input multi-output seismic-excited structural system is proposed. Considering the recommendations of [20], where an active vibration controller should be versatile, and easy to implement, the proposed work extends the utilization of SISO integral resonant control (IRC), originally introduced in [34], to a MIMO IRC configuration. Based on the foundational framework outlined in [35] and the MIMO IRC proposed in [36], this paper contributes with a new application of a MIMO IRC controller capable of mitigating spillover effects more effectively compared to prior efforts, such as those detailed in [30]. This research unfolds through distinct stages: first is the identification of the floor structure parametric model and the controller structure (Section 2), followed by the determination of the optimal actuator placement and control parameters for MIMO IRC utilizing the proposed common framework (Section 3); subsequently, the presentation of experimental findings is given (Section 4); finally, conclusions and avenues for future research are given (Section 5).