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..
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code
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data
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figures
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01.00-Getting-Started.ipynb
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01.01-Getting-Started-with-Python-and-Jupyter-Notebooks.ipynb
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01.02-Python-Basics.ipynb
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01.03-Python-Conditionals-and-Libraries.ipynb
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01.04-Python-Numeric-Integration-Revisited.ipynb
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02.00-Process-Modeling.ipynb
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02.01-Process-Variables.ipynb
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02.02-Gravity-Drained-Tank.ipynb
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02.03-Blending-Tank-Simulation.ipynb
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02.04-Continuous-Product-Blending.ipynb
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02.05-Hare-and-Lynx-Population-Dynamics.ipynb
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02.06-Exothermic-CSTR.ipynb
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02.07-Fed-Batch-Bioreactor.ipynb
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02.08-Model-Library.ipynb
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03.00-Linearization.ipynb
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03.01-Step-Response-of-a-Gravity-Drained-Tank.ipynb
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03.02-Linear-Approximation-of-a-Process-Model.ipynb
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03.03-Linear-Approximation-of-a-Multivariable-Model.ipynb
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03.04-Fitting-First-Order-plus-Time-Delay-to-Step-Response.ipynb
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03.05-One-Compartment-Pharmacokinetics.ipynb
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03.06-Second-Order-Models.ipynb
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03.07-Interacting-Tanks.ipynb
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03.08-Manometer-Models-and-Dynamics.ipynb
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03.09-COVID-19.ipynb
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03_09_COVID_19.ipynb
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04.00-PID_Control.ipynb
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04.01-Implementing_PID_Control_with_Python_Yield_Statement.ipynb
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04.02-PID_Control_with_Setpoint_Weighting.ipynb
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04.03-PID_Control_with_Bumpless_Transfer.ipynb
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04.04-PID-Control-with-Anti--Reset--Windup.ipynb
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04.05-Realizable-PID-Control.ipynb
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04.06-PID-Controller-Tuning.ipynb
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04.10-PID-Control.ipynb
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04.11-Implementing-PID-Control-in-Nonlinear-Simulations.ipynb
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04.12-Interactive-PID-Control-Tuning-with-Ziegler--Nichols.ipynb
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05.00-Frequency-Domain-Control-Design.ipynb
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05.01-Getting-Started-with-Transfer-Functions.ipynb
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05.02-Closed--Loop-Transfer-Functions-for-Car-Cruise-Control.ipynb
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05.03-Creating-Bode-Plots.ipynb
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05.04-Controller-Tuning-Rules-in-Frequency-Domain.ipynb
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05.05-Baroreflex-as-a-Linear-Control-System.ipynb
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06.00-Optimization.ipynb
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06.01-Unconstrained-Scalar-Optimization.ipynb
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06.02-Linear-Production-Model.ipynb
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06.03-Linear-Programming.ipynb
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06.04-Linear-Production-Model-in-Pyomo.ipynb
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06.05-Linear-Programming-in-Pyomo.ipynb
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06.06-Linear-Blending-Problem.ipynb
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06.07-Design-of-a-Cold-Weather-Fuel.ipynb
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06.08-Gasoline-Blending.ipynb
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06.99-Pyomo-Examples.ipynb
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07.00-Simulation-and-Optimal-Control.ipynb
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07.01-Simulation-and-Optimal-Control-in-Pharmacokinetics.ipynb
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07.02-Soft-Landing-a-Rocket.ipynb
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07.03-Simulation-in-Pyomo.ipynb
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07.04-Simulation-of-an-Exothermic-CSTR.ipynb
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07.05-First-Order-System-in-Pyomo.ipynb
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07.06-Path-Planning-for-a-Simple-Car.ipynb
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07.07-Transient-Heat-Transfer-in-Various-Geometries.ipynb
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07.08-Path-Constraints.ipynb
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08.00-Predictive-Control.ipynb
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08.01-Zero-Order-Hold-and-Interpolation.ipynb
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09.00-Discrete-Events.ipynb
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09.01-Scheduling-Multipurpose-Batch-Processes-using-State--Task-Networks.ipynb
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09.02-State--Task-Networks.ipynb
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09.03-Machine-Bottleneck.ipynb
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A.00-Additional-Python.ipynb
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A.01-Python-Library-for-CBE30338.ipynb
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A.02-Modular-Approach-to-Simulation-using-Python-Generators.ipynb
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A.03-Animation-in-Jupyter-Notebooks.ipynb
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B.00-Student-Projects.ipynb
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B.01-Diabetes-Controlling-Blood-Glucose-Concentrations.ipynb
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B.02-Visual-Tracking-of-an-Object-with-a-Drone.ipynb
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ipopt~e753fb6626389e56d4df740d21be2ce18323af07
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