Teaching
- essentials of digital control and sample-data systems
- discretization of signals and linear models
- state-feedback, observers, output-feedback and PID control
- project assignment using MATLAB and Simulink (simulation)
- practical laboratory sessions, using MATLAB and Simulink
- modeling of mechatronic systems, parameter estimation
- design and computer implementation of digital controllers
- intelligent control paradigm
- fuzzy logic, and fuzzy systems for modeling and control
- artificial neural networks for modeling and control
Last modified: November 2003