Teaching

Control Engineering (SC3020et, formerly et3-100)

• 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 Control Systems (SC4070, formerly et4-092)

• practical laboratory sessions, using MATLAB and Simulink
• modeling of mechatronic systems, parameter estimation
• design and computer implementation of digital controllers

Knowledge-Based Control Systems (SC4080, formerly et4-099)

• intelligent control paradigm
• fuzzy logic, and fuzzy systems for modeling and control
• artificial neural networks for modeling and control

Last modified: November 2003