activity
20192025
most citedGravity-mode period spacings and near-core rotation rates of 611 Doradus stars with \textit{Kepler}

71 citations · 112 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2025

React to Surprises: Stable-by-Design Neural Feedback Control and the Youla-REN

Nicholas H. Barbara, Ruigang Wang, Alexandre Megretski +1

We study parameterizations of stabilizing nonlinear policies for learning-based control. We propose a structure based on a nonlinear version of the Youla-Kucera parameterization co…

cs.LG2025

R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks

Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester

This paper presents the Robust Recurrent Deep Network (R2DN), a scalable parameterization of stable and robust recurrent neural networks for machine learning and data-driven contro…

cs.LG2024★ 2 cited

On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks

Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester

This paper presents a study of robust policy networks in deep reinforcement learning. We investigate the benefits of policy parameterizations that naturally satisfy constraints on…

cs.LG2023

RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness

Nicholas H. Barbara, Max Revay, Ruigang Wang +2

Neural networks are typically sensitive to small input perturbations, leading to unexpected or brittle behaviour. We present RobustNeuralNetworks.jl: a Julia package for neural net…

eess.SY2023★ 1 cited

Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems (Extended Version)

Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester

This paper presents a policy parameterization for learning-based control on nonlinear, partially-observed dynamical systems. The parameterization is based on a nonlinear version of…

astro-ph.SR2022★ 31 cited

Classifying Kepler light curves for 12,000 A and F stars using supervised feature-based machine learning

Nicholas H. Barbara, Timothy R. Bedding, Ben D. Fulcher +2

With the availability of large-scale surveys like Kepler and TESS, there is a pressing need for automated methods to classify light curves according to known classes of variable st…

eess.SY2021

Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System

Ruigang Wang, Nicholas H. Barbara, Max Revay +1

This paper proposes a nonlinear policy architecture for control of partially-observed linear dynamical systems providing built-in closed-loop stability guarantees. The policy is ba…

astro-ph.SR2020★ 7 cited

Finding binaries from phase modulation of pulsating stars with \textit{Kepler}: VI. Orbits for 10 new binaries with mischaracterised primaries

Simon J. Murphy, Nicholas H. Barbara, Daniel Hey +2

Measuring phase modulation in pulsating stars has proved to be a highly successful way of finding binary systems. The class of pulsating main-sequence A and F variables known as de…

astro-ph.SR2019★ 71 cited

Gravity-mode period spacings and near-core rotation rates of 611 Doradus stars with \textit{Kepler}

Gang Li, Timothy Van Reeth, Timothy R. Bedding +4

We report our survey of \,Doradus stars from the 4-yr \textit{Kepler} mission. These stars pulsate mainly in g modes and r modes, showing period-spacing patterns in the amplitud…