Process Control Temperature Lab
This lab reinforces principles of system dynamics, estimation, and model predictive control, including:
-The difference between manual and automatic control
-Step tests to generate dynamic data for empirical modeling
-Dynamic modeling with first principles
-Dynamic data reconciliation
-Tune a moving horizon estimator
-Tune a PID controller
-Tune a model predictive controller
-Combine MHE and MPC
See: http://apmonitor.com/do/index.php/Main/ArduinoLab for MATLAB version of lab
See: http://apmonitor.com/pdc/index.php/Main/ArduinoTemperatureControl for Python version of the lab