Akademik Dersler - İçerik

Derive mathematical models of physical systems (servo, tank, flexible link, etc.) and apply linearization techniques to nonlinear systems around operating points.
Evaluate performance limits, steady-state errors, and stability criteria of control systems using both theoretical and experimental data.
Design P, PI, and PID controllers, validate them through simulations, and implement them on real-time systems.
Develop state-space control strategies, including Observer-based and LQR (Optimal Control) designs for multi-degree-of-freedom (DOF) systems.
Comprehend and apply principles of non-fragile and robust controller design to ensure system performance under parameter uncertainties.
Utilize real-time data acquisition hardware and software to interface with experimental setups.
Effectively use modern engineering software (such as MATLAB/Simulink) for the design, simulation, and real-time control of complex systems.