Learning Control-Affine Reduced-Order Models arXiv
AFBytes Brief
Autoencoders are used to learn reduced-order models that preserve control-affine structure. The approach remains at the algorithmic level. No performance benchmarks on real systems are given.
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Academic bodies would classify the work under applied mathematics without regulatory weight.
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