MRAC algorythm for a nuclear reactor control system

This code implements an adaptive control system comprising a plant model, reference model, and adaptive controller. The plant and reference models are represented as linear state-space systems, while the adaptive controller employs a nonlinear IO system to adjust control parameters based on input signals and system states. The adaptive controller's internal dynamics are governed by differential equations, facilitating real-time adjustments to the control law coefficients. Through simulation, the effectiveness of the adaptive control system is evaluated under varying feedback gains (gamma), demonstrating its ability to regulate the plant output towards the reference model despite uncertainties and disturbances. Additionally, the evolution of control gains over time is analyzed to validate the adaptability and stability of the control system.