This course covers modern control theory using continuous time state-space system models and implementations. State space representation is introduced, and controllability, observability, and stability are reviewed. Control structures such as PID and state feedback controllers are introduced, and applications are discussed. Advanced topics such as model predictive control, adaptive control, robust control, and Kalman filters may be introduced at the instructor's discretion. A background in classical controls and modeling of dynamic systems is recommended.