Dynamic System Control Applications with Machine Learning

I used what I learned from fastai Deep Learning for Coders to explore machine learning control applications for dynamic systems. The objective of this study was to establish an ML control application design approach for critically damped responses in single-degree-of-freedom systems that could be applied to systems where the transfer-function model is not known.

I only got so far because of time constraints, but wanted to share my writeup of the study in case someone is interested and wants to pick up the idea:

Happy to receive any constructive feedback or contributions.


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