John Hedengren
Brigham Young University
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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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Feeds
Inviato
Simulink Temperature Control Lab (TCLab) with Arduino
The Simulink Temperature Control Lab connects to an Arduino Leonardo with a TCLab shield.
oltre 4 anni fa | 7 download |
Inviato
Arduino Model Predictive Control Lab
Model predictive control and moving horizon estimation on an Arduino for MIMO temperature control
quasi 9 anni fa | 2 download |
Inviato
Inverted Pendulum Model Predictive Control
Another application of the APMonitor Optimization Suite for Model Predictive Control
quasi 9 anni fa | 5 download |
Inviato
DynOpt Benchmarks: Dynamic Optimization Toolbox
Solve large-scale and complex dynamic optimization problems efficiently
quasi 9 anni fa | 4 download |
Inviato
Skydiving Simulation
Video tutorial with basic equations of motion calculations in 2D
quasi 9 anni fa | 2 download |
Inviato
Simulate Dynamics in MATLAB, Simulink, Excel, and Python
First order linear system simulation with different tools
circa 9 anni fa | 1 download |
Inviato
Quadratic Programming with Nonlinear Programming Solvers
Similar interface to quadprog but solution with NLP solvers such as APOPT and IPOPT
circa 9 anni fa | 1 download |
Inviato
Linear Programming with Nonlinear Programming Solvers
Similar interface to linprog but solution with nonlinear programming solvers such as IPOPT
circa 9 anni fa | 7 download |
Inviato
Arduino MATLAB Process Control Lab
Benchtop process control experiment with PID controller to maintain temperature of a thermistor.
oltre 9 anni fa | 3 download |
Inviato
Simulink Dual Gravity Drained Tank
Process control simulation tutorial for PID tuning
oltre 9 anni fa | 5 download |
Inviato
Simulink CSTR Simulation and Control
Exothermic CSTR with predictions for outlet temperature and concentration.
oltre 9 anni fa | 11 download |
Inviato
Blood Glucose Regulation in a Type-I Diabetic in Simulink
Control blood sugar levels by adjusting insulin injection pump rate
oltre 9 anni fa | 28 download |
Inviato
Dynamic Optimization with the APMonitor Toolbox
Fit a dynamic model to experimental data
circa 10 anni fa | 3 download |
Inviato
Dynamic Parameter Estimation and Confidence Intervals
Tutorial video and files on solving a dynamic optimization problem
circa 10 anni fa | 4 download |
Inviato
Prosthetic Leg Dynamic Simulation
Effect of a spring constant on travel and mechanical efficiency
oltre 10 anni fa | 11 download |
Inviato
Bellagio Fountain Simulation
Simulation of the Bellagio Fountain (100 nozzles)
oltre 10 anni fa | 2 download |
Inviato
Transient Catalytic Converter in Simulink
Active Heating of During Automotive Start-up for Pollution Reduction
oltre 10 anni fa | 6 download |
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...
oltre 10 anni fa | 0
Inviato
Comparison of 5 Estimator Methods
Example Kalman Filter, Implicit Dynamic Feedback, Filter Bias Update, and Moving Horizon Estimation
oltre 11 anni fa | 1 download |
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