John Hedengren
Brigham Young University
Process Research and Intelligent Systems Modeling (PRISM) is a world class collaborative research group for the application of innovative advanced process control and optimization techniques to be applied to:
Computational biology
Drilling automation
Enhanced recovery of oil and gas reserves
Flow assurance
Sustainable energy systems
Unmanned Aircraft Systems (UAS)
The group includes graduate and undergraduate students who are taking a lead role in the specific applications mentioned above. The PRISM group is also develops novel algorithms and techniques for large-scale and complex systems. These applications and techniques advance the area of Process Systems Engineering (PSE).
Professional Interests: Nonlinear optimization, Dynamic optimization, Estimation
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Simulink Temperature Control Lab (TCLab) with Arduino
The Simulink Temperature Control Lab connects to an Arduino Leonardo with a TCLab shield.
fast 7 Jahre vor | 718 Downloads |
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Arduino Model Predictive Control Lab
Model predictive control and moving horizon estimation on an Arduino for MIMO temperature control
mehr als 11 Jahre vor | 1104 Downloads |
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Inverted Pendulum Model Predictive Control
Another application of the APMonitor Optimization Suite for Model Predictive Control
mehr als 11 Jahre vor | 904 Downloads |
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DynOpt Benchmarks: Dynamic Optimization Toolbox
Solve large-scale and complex dynamic optimization problems efficiently
mehr als 11 Jahre vor | 1235 Downloads |
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Skydiving Simulation
Video tutorial with basic equations of motion calculations in 2D
mehr als 11 Jahre vor | 512 Downloads |
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Simulate Dynamics in MATLAB, Simulink, Excel, and Python
First order linear system simulation with different tools
mehr als 11 Jahre vor | 365 Downloads |
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Quadratic Programming with Nonlinear Programming Solvers
Similar interface to quadprog but solution with NLP solvers such as APOPT and IPOPT
mehr als 11 Jahre vor | 356 Downloads |
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Linear Programming with Nonlinear Programming Solvers
Similar interface to linprog but solution with nonlinear programming solvers such as IPOPT
mehr als 11 Jahre vor | 853 Downloads |
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Arduino MATLAB Process Control Lab
Benchtop process control experiment with PID controller to maintain temperature of a thermistor.
fast 12 Jahre vor | 2727 Downloads |
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Simulink Dual Gravity Drained Tank
Process control simulation tutorial for PID tuning
fast 12 Jahre vor | 1258 Downloads |
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Simulink CSTR Simulation and Control
Exothermic CSTR with predictions for outlet temperature and concentration.
fast 12 Jahre vor | 2395 Downloads |
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Blood Glucose Regulation in a Type-I Diabetic in Simulink
Control blood sugar levels by adjusting insulin injection pump rate
fast 12 Jahre vor | 2508 Downloads |
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Dynamic Optimization with the APMonitor Toolbox
Fit a dynamic model to experimental data
mehr als 12 Jahre vor | 664 Downloads |
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Dynamic Parameter Estimation and Confidence Intervals
Tutorial video and files on solving a dynamic optimization problem
mehr als 12 Jahre vor | 884 Downloads |
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Prosthetic Leg Dynamic Simulation
Effect of a spring constant on travel and mechanical efficiency
fast 13 Jahre vor | 1085 Downloads |
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Bellagio Fountain Simulation
Simulation of the Bellagio Fountain (100 nozzles)
fast 13 Jahre vor | 749 Downloads |
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Transient Catalytic Converter in Simulink
Active Heating of During Automotive Start-up for Pollution Reduction
fast 13 Jahre vor | 1178 Downloads |
urlread-function is very slow since R2012b - why?
I also noticed this loss in speed that Sven mentioned on some of our lab computers. We were running 2010b and 2012b. The same co...
fast 13 Jahre vor | 0
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Comparison of 5 Estimator Methods
Example Kalman Filter, Implicit Dynamic Feedback, Filter Bias Update, and Moving Horizon Estimation
etwa 14 Jahre vor | 1449 Downloads |





