PFDeePO modifies the DeePO adaptive LQR algorithm by pausing updates near equilibrium and applying random multiplicative gain scaling, removing the need for probing noise and eliminating state perturbations in simulation.
On- policy data-driven linear quadratic regulator via combined policy iteration and recursive least squares,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SY 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
A Modified Adaptive Data-Enabled Policy Optimization Control to Resolve State Perturbations
PFDeePO modifies the DeePO adaptive LQR algorithm by pausing updates near equilibrium and applying random multiplicative gain scaling, removing the need for probing noise and eliminating state perturbations in simulation.