activity
20132024
most citedHarnessing Uncertainty for a Separation Principle in Direct Data-Driven Predictive Control

15 citations · 24 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

math.OC2024★ 1 cited

Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR

Feiran Zhao, Florian Dörfler, Alessandro Chiuso +1

Direct data-driven design methods for the linear quadratic regulator (LQR) mainly use offline or episodic data batches, and their online adaptation has been acknowledged as an open…