2 papers
eess.SY2025
Data-driven nonlinear output regulation via data-enforced incremental passivity
Yixuan Liu, Meichen Guo
This work proposes a data-driven nonlinear regulator design that achieves asymptotic reference tracking under external disturbances, where the reference and disturbances are genera…
eess.SY2023
Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with Additive Exploration
Archith Athrey, Othmane Mazhar, Meichen Guo +2
In this paper, we analyze the regret incurred by a computationally efficient exploration strategy, known as naive exploration, for controlling unknown partially observable systems…