3 papers
eess.SY2026
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…
cs.LG2026
A Spatially Informed Gaussian Process UCB Method for Decentralized Coverage Control
Gennaro Guidone, Luca Monegaglia, Elia Raimondi +3
We present a novel decentralized algorithm for coverage control in unknown spatial environments modeled by Gaussian Processes (GPs). To trade-off between exploration and exploitati…
eess.SY2026
Model-Free Power System Stability Enhancement with Dissipativity-Based Neural Control
Yifei Wang, Han Wang, Kehao Zhuang +2
The integration of converter-interfaced generation introduces new transient stability challenges to modern power systems. Classical Lyapunov- and scalable passivity-based approache…