Dynamic Optimization in MATLAB and Python

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This tutorial video demonstrates how to solve a benchmark dynamic optimization problem with APMonitor.

minimize x2(tf)
subject to
d(x1)/dt = u
d(x2)/dt = x1^2 + u^2

with x1(0) = 1 and x2(0) = 0
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Hello, thanks for such a great video. I have a question regarding the CSV file. Why do we have to create that file? I mean in Matlab If we use fmincon and ode45, we will solve the optimization problem and use the 'stairs' function to generate the control signal

NoNameFound--years-ago
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Great contribution! How can I install the optimization server in my local computer?

mellorf
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When you speak about dynamic optimization, you are referring to Model predictive control as you talk in other videos? How is this related to optimal control?

itzipitzitzi
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Can we solve it in MATLAB only? like use ode45 and fmincon

al_yafeai
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Why do we get the value of state variable and total variable in the end as 200 and 198?

sakshisinhal
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Can you suggest how to do with PSO in matlab and python?

virajgir
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How to do this for a reservoir optimization model

akshaysunil