CBE32338

Index of Python Libraries used in this Repository

control

• 3.1 Open and Closed Loop Estimation
• 3.1.1.1 Open Loop Estimation
• 3.1.2.2 Choosing $L$
• 4.3.1 PID Simulation

matplotlib

• 2.1 Step Testing
• 2.2.2.3 Estimating Gain and Time Constant
• 2.2.3 First Order plus Dead Time
• 2.2.4 Second Order
• 2.3.2 Loading previously saved experimental data
• 2.3.2.3 Plotting the Analytical Solution
• 2.3.3 Matching the Model to Experimental Data
• 2.4.4 Estimating $U_a$ and $U_b$
• 2.4.5 Simulation with odeint
• 2.4.6 Fitting the Model to Measured Step Response Data
• 2.5.2 Model in deviation variables
• 2.6.3 State space
• 2.10.5 Exercise 4. Verify and save data to a .csv file
• 2.10.5 Exercise 4. Verify and save data to a .csv file
• 2.11.1 Initializations
• 3.1 Open and Closed Loop Estimation
• 4.3.1 PID Simulation
• 5.1.2.2 Process Inputs
• 5.2.2.2 Process Inputs
• A.2 Modular Simulation using Python Generators
• A.3 A Modular Approach to Simulation using Python Generators
• A.4.3.1 Step 1. Create the background frame.
• A.4.4 Example: Phase Plane Animation for an Exothermic Stirred-Tank Reactor

numpy

• 2.2.2.3 Estimating Gain and Time Constant
• 2.2.3 First Order plus Dead Time
• 2.2.4 Second Order
• 2.2.5 Fitting a Second Order Model by Least Squares
• 2.3.2.3 Plotting the Analytical Solution
• 2.4.5 Simulation with odeint
• 2.6.3 State space
• 2.11.1 Initializations
• 3.1 Open and Closed Loop Estimation
• 3.1.1.1 Open Loop Estimation
• 3.1.2.2 Choosing $L$
• 3.1.2.2 Choosing $L$
• 4.3.1 PID Simulation
• 5.1.2.2 Process Inputs
• 5.2.2.2 Process Inputs
• A.2 Modular Simulation using Python Generators
• A.3 A Modular Approach to Simulation using Python Generators
• A.4.3.1 Step 1. Create the background frame.
• A.4.4 Example: Phase Plane Animation for an Exothermic Stirred-Tank Reactor

pandas

• 1.2.5 The TCLab Historian
• 2.1 Step Testing
• 2.1.1.3 Convert to a DataFrame
• 2.2.1 Read the Data File
• 2.2.3 First Order plus Dead Time
• 2.2.4 Second Order
• 2.3.2 Loading previously saved experimental data
• 2.3.2 Loading previously saved experimental data
• 2.3.3 Matching the Model to Experimental Data
• 2.4.4 Estimating $U_a$ and $U_b$
• 2.4.6 Fitting the Model to Measured Step Response Data
• 2.5.2 Model in deviation variables
• 2.6.3 State space
• 2.11.1 Initializations
• 3.1 Open and Closed Loop Estimation

seaborn

• A.4.3.1 Step 1. Create the background frame.
• A.4.4 Example: Phase Plane Animation for an Exothermic Stirred-Tank Reactor

sys

• 4.3.2 PID Implementation

tclab

• 1.2.8 Running Diagnostics

time

• 1.2.3 Setting Heaters
• 1.2.4 Synchronizing with Real Time using clock