5 papers · 1 filter
Fundamental Limitations of Data-Driven Control: A Statistical Decision Perspective
Jiabao He, Feiran Zhao, Yushan Li +3
Substantial research efforts have been devoted to the design of data-driven controllers; however, comparatively less is known about their statistical performance and fundamental li…
A Data-Enabled Primal-Dual Approach for Policy Learning with SDP Formulations
Han Wang, Feiran Zhao, Florian Dorfler
This paper develops a data-enabled primal-dual framework for learning optimal control policies for unknown linear discrete-time systems from online data. The proposed approach view…
On the Effect of Quadratic Regularization in Direct Data-Driven LQR
Manuel Klädtke, Feiran Zhao, Florian Dörfler +1
This paper proposes an explainability concept for direct data-driven linear quadratic regulation (LQR) with quadratic regularization. Our perspective follows the parametric effect…
Regularization for Covariance Parameterization of Direct Data-Driven LQR Control
Feiran Zhao, Alessandro Chiuso, Florian Dörfler
As the benchmark of data-driven control methods, the linear quadratic regulator (LQR) problem has gained significant attention. A growing trend is direct LQR design, which finds th…
An Adaptive Data-Enabled Policy Optimization Approach for Autonomous Bicycle Control
Niklas Persson, Feiran Zhao, Mojtaba Kaheni +2
This paper presents a unified control framework that integrates a Feedback Linearization (FL) controller in the inner loop with an adaptive Data-Enabled Policy Optimization (DeePO)…