Semester: Autumn 2025
Instructor: Prof. Sujay Kadam
This course provides a rigorous foundation in control techniques used for autonomous systems, covering both classical and modern state-space approaches. Key topics include:
State-space modeling and feedback control
Observability, controllability, and observer design
Kalman filtering and Bayesian estimation
Non-linear system behavior, Lyapunov stability
Applications to robotics, UAVs, and mobile systems
MATLAB/Simulink and Python used for simulations
Project Work: Focus on real-world applications like the swirling pendulum, acrobot, and mobile robot control.