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_toc.yml
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# Table of contents
# Learn more at https://jupyterbook.org/customize/toc.html
format: jb-book
root: Readme
parts:
- caption: Course Information
chapters:
- file: Syllabus.md
- file: Schedule.md
- caption: Assignments
chapters:
- file: assignments/00-assignments.md
sections:
- file: assignments/hw-01.ipynb
- file: assignments/hw-02.ipynb
- caption: Topical Materials
numbered: true
chapters:
- file: notebooks/01.00-What-is-Process-Control
sections:
- file: notebooks/01.01-What-is-Feedback
- file: notebooks/01.02-Elements-of-Feedback-Control
# - file: notebooks/01.05-Assignment-1
- file: notebooks/02.00-Process-Modeling
sections:
- file: notebooks/02.01-One-Compartment-Pharmacokinetics
- file: notebooks/02.02-Properties-of-Scalar-First-Order-Linear-Systems
- file: notebooks/02.03-First-Order-Model-for-a-Single-Heater
- file: notebooks/02.04-Fitting-a-Model-to-Data
- file: notebooks/02.05-Second-Order
- file: notebooks/02.06-Fed-Batch-Bioreactor
- file: notebooks/02.07-Exothermic-CSTR
- file: notebooks/02.08-Hare-and-Lynx
- file: notebooks/02.09-Study-Guide
- file: notebooks/03.00-Feedback-Control
sections:
- file: notebooks/03.01-Case-Study-Thermal-Cycling-PCR
- file: notebooks/03.02-Setpoints
- file: notebooks/03.03-Setpoints-Thermal-Cycler
- file: notebooks/03.04-Relay-Control
- file: notebooks/03.05-Implementing-Controllers
- file: notebooks/03.06-Proportional-Integral-Control
- file: notebooks/03.07-Integral-Windup-and-Bumpless-Transfer
- file: notebooks/03.08-Controller-Tuning
- file: notebooks/04/04.00-Process-Analytics
sections:
- file: notebooks/04/04.01-Learning-Goals
- file: notebooks/04/04.02-Process-Historians
- file: notebooks/04/04.03-State-Estimation
- file: notebooks/04/04.04-Lab-Assigment-State-Estimation
- file: notebooks/04/04.05-Anomaly-Detection
- file: notebooks/04/04.06-Lab-Assignment-Anomaly-Detection
- file: notebooks/04/04.07-Observer-Synthesis-LMI
- file: notebooks/04/04.08-Envrironmental-Application
- file: notebooks/04/04.09-Study-Questions
- file: notebooks/05/05.00-Optimization
sections:
- file: notebooks/05/05.01-Linear-Production-Model
- file: notebooks/05/05.02-Linear-Blending-Problem
- file: notebooks/05/05.03-Homework_2
- file: notebooks/05/05.04-Gasoline-Blending
- file: notebooks/05/05.05-Linear-Programming
- file: notebooks/05/05.06-Design-of-a-Cold-Weather-Fuel
- file: notebooks/05/05.99-Pyomo-Examples
- file: CBE30338-EV-Example
- file: notebooks/milk-pooling
- file: notebooks/06.00-Predictive-Control
sections:
- file: notebooks/07.01-Simulation-and-Optimal-Control-in-Pharmacokinetics
- file: notebooks/06.01-Static-Operability
- file: notebooks/06.02-Simulation-and-Open-Loop-Optimal-Control
- file: notebooks/06.03-Predictive-Control
- file: notebooks/06.04-Implementing-Predictive-Control
- file: notebooks/06.06a-gompertz-tumor-growth
- file: notebooks/06.06-gompertz-model-project
- file: notebooks/06.07-time-as-decision-variable
# - file: notebooks/07.00-Discrete-Event-Systems
# sections:
# - file: notebooks/06.01a-Introduction-to-Simpy
# - file: notebooks/07.02-Agent-Based-Models
# - file: notebooks/07.03-Chemotaxis
# - file: notebooks/07.04-Project-Batch-Chemical-Process
# - file: notebooks/07.05-Queuing-Systems-and-Poisson-Processes
- file: notebooks/08.00-Projects
sections:
- file: notebooks/08.01-Project-Ideas
- file: notebooks/09.00-Bibliography
- caption: Control Laboratory
numbered: true
chapters:
- file: tclab/00.00-tclab.md
sections:
- file: tclab/00.01-setting-up-tclab.ipynb
- file: tclab/00.02-troubleshooting-tclab
- file: tclab/00.03-using-tclab
- file: tclab/01.00-step-testing.md
sections:
- file: tclab/01.01-step-testing.ipynb
- file: tclab/01.02-first-order-model-for-a-single-heater
- file: tclab/02.00-Empirical-Model-Identification
sections:
- file: tclab/02.02-Fitting-Step-Test-Data-to-Empirical-Models
- file: tclab/03.00-Estimating-Model-Parameters
sections:
# - file: tclab/03.05-Two-State-Model-for-a-Single-Heater
# - file: tclab/03.04-Two-Input-Two-Output-Model
# - file: tclab/03.06-Four-State-Model
# - file: tclab/03.10-TCLab-Lab-2-Model-Indentification-Solutions
- file: tclab/03.10-TCLab-Lab-2-Model-Indentification
# - file: tclab/03.11-TCLab-Lab-2-Fitting
- file: tclab/04.00-Feedback-Control
sections:
- file: tclab/04.01-Relay-Control
- file: tclab/04.02-Lab-Assignment-Relay-Control
# - file: tclab/04.03-PID_Control
# - file: tclab/04.10-Lab-Assignment-PID-Control
# - file: tclab/04.11-Lab-Assignment-PI-Control
- file: tclab/05.00-State-Estimation
sections:
- file: tclab/05.01-Open-and-Closed-Loop-Estimation
- file: tclab/06.00-Optimal-Control
- file: tclab/07.00-Predictive-Control-and-Real-Time-Optimization
sections:
- file: tclab/07.01-Optimization-Control-and-Estimation-using-Pyomo
- file: tclab/07.02-Optimization-Control-and-Estimation-using-Pyomo-With-Windows-ipopt
- caption: Python Tutorials
chapters:
- file: python/A.00-Python-Tutorials
sections:
- file: python/A.05-Tidy-Data-and-Pandas
- file: python/A.10-Coding-Controllers-with-Python-Generators
- file: python/A.11-Modular-Approach-to-Simulation-using-Python-Generators
- file: python/A.30-Animation-in-Jupyter-Notebooks