Dynamic control systems present significant challenges in parameter tuning due to their complex behaviors, various performance requirements, and wide application domains. Existing strategies often rely on restrictive assumptions or are obtained sequentially, resulting in poor stability and performance. To overcome these limitations, this study introduces a developed static output feedback framework that stabilizes and simultaneously tunes multiple parameters in various dynamic control systems. The proposed methodology combines a systematic analytical procedure with a software-based implementation, enabling proper performance under varying system types, orders, and parameter sets. Indeed, the introduced tuning approach enables the simultaneous adjustment of all control system parameters, accommodating the designer’s preferences regarding the number of parameters to be tuned and the control objectives. Its effectiveness and efficiency are demonstrated through extensive simulations and real-time experiments in aerospace, robotics, and electric systems. Results indicate that this approach covers significant system variations without compromising stability or performance, distinguishing it from the conventional tuning methods. These outcomes offer new insights into the importance of simultaneously retuning control system parameters due to technical and economic issues. It is worth emphasizing that the proposed approach provides a comprehensive plan for designing or tuning controller parameters simultaneously and extends the applicability of static output feedback control theory to a wider range of dynamic control systems.
