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Dynamic Parameter Estimation and Confidence Intervals

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Tutorial video and files on solving a dynamic optimization problem



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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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John Hedengren

John Hedengren (view profile)

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

MATLAB Release
MATLAB 8.1 (R2013a)

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