Week Mini-Course on Modeling and Optimization
John Hedengren
Next week (Apr 29- May 3) is our week-long intensive training session on modeling and optimization for researchers at BYU. We are also making the training session available through WebEx if you’d like to participate remotely. The maximum number of WebEx seats is 25 and it will be available to the first participants that join the session.
Dates: Apr 29-May 3
Times: Every day 8 AM – 12 PM, Mountain Time
Location: 230 CB at BYU or remotely through WebEx (see log-in information below)
WebEx Information:
Meeting Number: 624 458 561
Meeting Password: dyn2013
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To join this meeting (Now from mobile devices!)
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1. Go to https://byu.webex.com/byu/j.php?J=624458561&PW=NNTllNWQ5ODhm
2. If requested, enter your name and email address.
3. If a password is required, enter the meeting password: dyn2013
4. Click "Join".
5. Follow the instructions that appear on your screen.
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Audio conference information
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Call-in toll number (US/Canada): 1-650-479-3208
Access code:624 458 561
In preparation for the course, please install the following software:
For Everyone:
Optional (needed for Afternoon Session Participants only):
We’ll have 3-4 hours of instruction in the morning followed by an afternoon of hands-on exercises. These are some of the concepts that we’ll cover:
• introductory concepts
- steady state models
- dynamic models
- solution methods
o simulate
o estimate
o optimize
• model development
- empirical modeling
o linear time-invariant
- first principles modeling
• simulation
- sequential simulation techniques
- simultaneous simulation techniques
• parameter estimation
- multiple steady-state cases
- dynamic parameter estimation
• process control and optimization
- review of PID control
- linear Model Predictive Control (MPC)
- nonlinear MPC
• hands-on computer and lab exercises
Below is the agenda and dial-in details if you’d like to participate remotely in any of the sessions.
Day 1: Meet in 230 CB at BYU, bring a laptop if possible
- Overview of Mini-Course
- Installing Python or MATLAB and pre-requisite software (30 min)
- Modeling and Optimization in APM (60 min) – Jose to help with this section
- Constants, Parameters, Variables, Intermediates, Objective Functions, Equations
- Equality and Inequality Constraints
- Continuous and Integer Variables
- Exercises and Hands-on Activities through-out
- Activity (30 min)
- Introduction to MATLAB and Python (60 min) – Abe / Jose
- Data and Results (30 min)
- Input data into models with CSV files
- Retrieve solution results
- Plotting and trending in MATLAB or Python
- Activity (30 min)
Day 1: Afternoon
- MATLAB and Python Tutorials
- Steady state modeling and optimization with Arduino lab
Day 2: Meet in 210B FB, Session in 290 FB. Depending on number of participants we may move to a new location.
- Dynamic Systems (90 min)
- First order linear systems
- Explicit solution
- Numerical solution
- Differential Equations in APM
- Input dynamic data
- Initialization of models
- First order linear systems
- Activity (30 min)
- Dynamic Parameter Estimation (90 min)
- Empirical Modeling - Jose
- First Principles Modeling – Reza / Mostafa
- Fitting Parameters with Dynamic Data
Day 2: Afternoon
- MATLAB and Python Tutorials
- Dynamic modeling and optimization with Arduino temperature control
Day 3-5: Advanced topics
- Mixed Integer Nonlinear Programming
- Mixed Integer Dynamic Programming
- Multi-Objective Optimization
- Energy System Modeling – Jose, Reza, Mostafa
- Biological Modeling – Kristie, Nick
- Flight Dynamics and Control – Visit to the MAGICC lab – Abe, Colter, Joe, Joshua
- Refinery Optimization – Jonathon
- Catalysis Optimization - Basseem
- Research specific topics
- Advanced MATLAB and Python Coding
Best regards,
John Hedengren
Assistant Professor
Department of Chemical Engineering
Brigham Young University
Tel. 801-477-7341
