The chapter explores the optimization of controllers for multi-degree-of-freedom (multiDOF) systems, which are critical for stabilizing complex dynamic systems such as UAVs. It highlights the use of MATLAB/Simulink Response Optimizer Toolbox, a powerful tool for fine-tuning control parameters under specific constraints like stability, response time, and energy efficiency. A case study on the Quanser 3DOF Hover system illustrates the application of Linear Quadratic Regulator (LQR) optimization. The process involved adjusting weighting matrices to meet strict criteria, such as a 5-second rise time and a 10% overshoot limit. Simulations demonstrated that the system effectively transitioned to hover and tracked predefined trajectories, underscoring the toolbox's efficiency in enhancing system performance and its educational value in control engineering.