Stabilization of a Class of Uncertain Nonlinear Systems Using Output Feedback

This program focuses on stabilizing a class of uncertain nonlinear systems using output feedback control. In this simulation example, I developed a detailed model and conducted comprehensive simulations using Simulink. The implementation begins with configuring system initial conditions based on characteristic parameters and uncertainty bounds. I designed an output feedback controller that adjusts control signals by measuring system outputs to maintain stability. The simulation process involves monitoring output responses and control signal variations to evaluate controller performance through time-domain analysis. Key implementation aspects include setting up nonlinear system blocks, designing feedback gain matrices, and implementing robustness mechanisms for uncertainty handling. Through iterative analysis of simulation results and parameter tuning, I progressively optimized the controller design to achieve faster convergence and higher stabilization accuracy. This simulation not only demonstrates practical applications of output feedback control for uncertain nonlinear systems but also serves as an educational reference platform, helping researchers and engineers better understand and implement such control methodologies through hands-on parameter adjustment and performance validation.