32 citations · 38 across the 17 of their papers we have counts for
5 papers · 1 filter
A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification
Kehan Long, Yiqi Zhao, Pol Mestres +3
Uncertainty quantification from finite data is central to machine learning, optimization, and automation systems, where decisions must remain reliable under limited samples and tes…
Stabilization of Nonlinear Systems through Control Barrier Functions
Pol Mestres, Kehan Long, Melvin Leok +2
This paper proposes a control design approach for stabilizing nonlinear control systems. Our key observation is that the set of points where the decrease condition of a control Lya…
Feasibility Analysis and Regularity Characterization of Distributionally Robust Safe Stabilizing Controllers
Pol Mestres, Kehan Long, Nikolay Atanasov +1
This paper studies the well-posedness and regularity of safe stabilizing optimization-based controllers for control-affine systems in the presence of model uncertainty. When the sy…
Distributionally Robust Lyapunov Function Search Under Uncertainty
Kehan Long, Yinzhuang Yi, Jorge Cortes +1
This paper develops methods for proving Lyapunov stability of dynamical systems subject to disturbances with an unknown distribution. We assume only a finite set of disturbance sam…
Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization
Kehan Long, Yinzhuang Yi, Jorge Cortes +1
This paper considers enforcing safety and stability of dynamical systems in the presence of model uncertainty. Safety and stability constraints may be specified using a control bar…