Advancements in microelectronics and software allow the use of embedded systems in the implementation of some control laws. In this work, the STM32 microcontroller is exploited in order to implement a robust fixed low-order controller on an electronic system. Parametric uncertainty model is employed to describe the system behavior, and the controller objective is to guarantee some time response specifications in the presence of model uncertainties. The controller design is expressed as a min-max non-convex optimization problem while taking into account the desired closed-loop performances and uncertainties. Accordingly, with the aim of obtaining an optimal solution and then an optimal control law, the application of a global optimization method is recommended. In this work, the exploited global optimization method is the generalized geometric programming. The implementation of a proportional integral controller, a proportional integral derivative controller and the fixed low-order controller shows the efficiency of the latter one.