This paper presents deterministic and stochastic matrix models for radiophysical processes in UAV microcontroller systems. The methodology generalizes matrix signal dynamics using Markov switchings and Ornstein–Uhlenbeck diffusion approximation. Based on oscilloscope measurements of the power supply voltage, model parameters were identified, revealing increased fluctuation intensity under higher propulsion loads. The results enable quantitative stability assessment of control algorithms. The key contribution is the combination of the matrix modeling approach with experimental identification of stochastic parameters under realistic electromagnetic interference conditions.