Basic Information
Frequency Response, Identification and Control Design in The Frequency Domain. Internal Model Control (imc, Internal Model Control). Robust Control. Introduction to Multivariate Control. Discrete Systems# Sampling, Filtering and Z-transforms. Discrete Control Design Methods. Mpc(model Predictive Control) and Dmc (dynamic Matrix Control). Applications in Petrochemical Processes, Biotechnology And Ic (integrated Circuit) Manufacturing. Learning Outcomes# at The End of The Course, The Student Will Be Able To# 1. Generate an Empirical Linear Dynamic Model Given a Set Of Input-output Data. 2. Define The Structure and Parameters Of The Most Suitable Siso (single Input Single Output) Controller Given an Uncertain Linear Model Describing The System (discrete And Continuous). 3. Define The Most Appropriate Pairing in Mimo (multiple Input Multiple Output). 4. Define and Tune an Mpc Mimo System.
Faculty: Chemical Engineering
|Undergraduate Studies
|Graduate Studies
Pre-required courses
54314 - Int. to Process Dynamics and Control M
Course with no extra credit
54414 - Process Control System Design