Submitted by EmbarrassedFuel t3_10w5f9u in MachineLearning
EmbarrassedFuel OP t1_j7p3xc1 wrote
Reply to comment by UnusualClimberBear in Model/paper ideas: reinforcement learning with a deterministic environment [D] by EmbarrassedFuel
I haven't been able to find anything about optimal control with all of:
- non-linear dynamics/model
- non-linear constraints
- both discrete and continuously parameterized actions in the output space
but in general, discovery of papers/techniques in control theory seems to be much harder for some reason
UnusualClimberBear t1_j7pdue6 wrote
This is because the information is in the books.
(free online) http://www.cds.caltech.edu/~murray/amwiki/index.php/Main_Page
https://www.amazon.com/Modern-Control-Systems-12th-Edition/dp/0136024580
Yet nonlinear breaks everything there. The usual approach is to linearize at well-chosen positions and compute the control using the closest linearization.
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