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Some of the code (forcing) is here. You can check example 1 for the how-to. Feedback control isn't present here - section 3 of that paper describes why it needs to be manually tweaked in order to fit unambiguously. It might make sense that after system identification on perturbed control, simulation allowed feedback control via a callable on |
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If I am using already perturbed control input data, can I proceed with system identification with SINDy in the same way as usual for historical data, and also simulate for the holdout set in the usual way? I would then write the callable for optimal feedback control for future data points - have I understood correctly? |
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Is the code for the paper:
https://www.sciencedirect.com/science/article/pii/S2405896316318298
here somewhere?
I'm interested in seeing the difference in the code for the forcing vs feedback control
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