pdc/Module_26 at master · APMonitor/pdc · GitHub

Name		Name	Last commit message	Last commit date
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1_Topic		1_Topic
2_Quiz		2_Quiz
3_Assignment		3_Assignment
4_TCLab		4_TCLab
README.md		README.md

README.md

Module 26 in Process Dynamics and Control

Topic

State Space Models: 1 scripts. Description: Linear Time Invariant (LTI) state space models are a linear representation of a dynamic system in either discrete or continuous time. Putting a model into state space form is the basis for many methods in process dynamics and control analysis.

Quiz

Quiz on State Space Models: 1 scripts. Description: Learning assessment on state space models.

Assignment

State Space Stirred Reactor: 2 scripts. Description: Case study on a stirred tank reactor linearization and modeling in Python. The exercise involves creating a dynamic model based on balance equations, linearizing, and fitting the equations into state space form.

TCLab

TCLab State Space Model: 5 scripts. Description: Derive and simulate a state space model of temperature response to heater step changes