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Dynamic Parameter Estimation and Confidence Intervals

version (2.78 KB) by John Hedengren
Tutorial video and files on solving a dynamic optimization problem


Updated 11 Feb 2014

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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.

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Here is the video tutorial that demonstrates the development of the files:

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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