machine-learning-and-simulation ODE Optimal Control as an aside derivation from the adjoint sensitivity by lagrange method

ODE Optimal Control as an aside derivation from the adjoint sensitivity by lagrange method

Open shayshay42 opened this issue 1 year ago • 2 comments

Hi @Ceyron

I love the videos! Wrote up the derivation for the ODE adjoints and wrote a derivation for getting gradients for an optimal controller u(t) that influences the ODEs. I'm working on the derivation for the adjoint of a hybrid ODE system with events. Let me know if these would be useful additions to the notes for viewers and I can open a pull request!

Thanks, Shayan

sensitivity.pdf

Feb 03 '24 18:02 shayshay42

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ODE Optimal Control as an aside derivation from the adjoint sensitivity by lagrange method

machine-learning-and-simulation
machine-learning-and-simulation copied to clipboard