John Hedengren

Brigham Young University

2012년부터 활동

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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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Simulink Temperature Control Lab (TCLab) with Arduino
The Simulink Temperature Control Lab connects to an Arduino Leonardo with a TCLab shield.

4년 초과 전 | 다운로드 수: 7 |

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Arduino Model Predictive Control Lab
Model predictive control and moving horizon estimation on an Arduino for MIMO temperature control

거의 9년 전 | 다운로드 수: 2 |

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Inverted Pendulum Model Predictive Control
Another application of the APMonitor Optimization Suite for Model Predictive Control

거의 9년 전 | 다운로드 수: 5 |

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DynOpt Benchmarks: Dynamic Optimization Toolbox
Solve large-scale and complex dynamic optimization problems efficiently

거의 9년 전 | 다운로드 수: 4 |

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Skydiving Simulation
Video tutorial with basic equations of motion calculations in 2D

거의 9년 전 | 다운로드 수: 2 |

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Simulate Dynamics in MATLAB, Simulink, Excel, and Python
First order linear system simulation with different tools

대략 9년 전 | 다운로드 수: 1 |

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Quadratic Programming with Nonlinear Programming Solvers
Similar interface to quadprog but solution with NLP solvers such as APOPT and IPOPT

대략 9년 전 | 다운로드 수: 1 |

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Linear Programming with Nonlinear Programming Solvers
Similar interface to linprog but solution with nonlinear programming solvers such as IPOPT

대략 9년 전 | 다운로드 수: 7 |

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Arduino MATLAB Process Control Lab
Benchtop process control experiment with PID controller to maintain temperature of a thermistor.

9년 초과 전 | 다운로드 수: 3 |

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Simulink Dual Gravity Drained Tank
Process control simulation tutorial for PID tuning

9년 초과 전 | 다운로드 수: 5 |

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Simulink CSTR Simulation and Control
Exothermic CSTR with predictions for outlet temperature and concentration.

9년 초과 전 | 다운로드 수: 13 |

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Blood Glucose Regulation in a Type-I Diabetic in Simulink
Control blood sugar levels by adjusting insulin injection pump rate

9년 초과 전 | 다운로드 수: 27 |

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Dynamic Optimization with the APMonitor Toolbox
Fit a dynamic model to experimental data

대략 10년 전 | 다운로드 수: 3 |

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Dynamic Parameter Estimation and Confidence Intervals
Tutorial video and files on solving a dynamic optimization problem

대략 10년 전 | 다운로드 수: 4 |

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Prosthetic Leg Dynamic Simulation
Effect of a spring constant on travel and mechanical efficiency

10년 초과 전 | 다운로드 수: 11 |

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Bellagio Fountain Simulation
Simulation of the Bellagio Fountain (100 nozzles)

10년 초과 전 | 다운로드 수: 2 |

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Transient Catalytic Converter in Simulink
Active Heating of During Automotive Start-up for Pollution Reduction

10년 초과 전 | 다운로드 수: 6 |

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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...

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Comparison of 5 Estimator Methods
Example Kalman Filter, Implicit Dynamic Feedback, Filter Bias Update, and Moving Horizon Estimation

11년 초과 전 | 다운로드 수: 1 |

John Hedengren

Brigham Young University

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