A data-driven policy iteration framework using Yosida-based Koopman generator identification with control-affine observables yields stabilizing optimal controllers for unknown systems up to 9 dimensions, with small cost error versus a known-dynamics oracle.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator
A data-driven policy iteration framework using Yosida-based Koopman generator identification with control-affine observables yields stabilizing optimal controllers for unknown systems up to 9 dimensions, with small cost error versus a known-dynamics oracle.