Dynamic Parameter Estimation and Confidence Intervals
Tutorial video and files on solving a dynamic optimization problem
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
This tutorial covers MATLAB programming to simulate a differential equation model and optimize parameters to match measurements. In this exercise, the model is simulated with an ODE integrator (ode15s) and optimized with fmincon or fminsearch. A confidence interval for the parameter is also calculated.
Cite As
John Hedengren (2026). Dynamic Parameter Estimation and Confidence Intervals (https://www.mathworks.com/matlabcentral/fileexchange/45496-dynamic-parameter-estimation-and-confidence-intervals), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (2.78 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
