5 papers
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…
Safe Control of Second-Order Systems with Linear Constraints
Mohammed Alyaseen, Nikolay Atanasov, Jorge Cortes
Control barrier functions (CBFs) offer a powerful tool for enforcing safety specifications in control synthesis. This paper deals with the problem of constructing valid CBFs. Given…
Safety-Critical Control of Discontinuous Systems with Nonsmooth Safe Sets
Mohammed Alyaseen, Nikolay Atanasov, Jorge Cortes
This paper studies the design of controllers for discontinuous dynamics that ensure the safety of non-smooth sets. The safe set is represented by arbitrarily nested unions and inte…
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…
Distributionally Robust Policy and Lyapunov-Certificate Learning
Kehan Long, Jorge Cortes, Nikolay Atanasov
This article presents novel methods for synthesizing distributionally robust stabilizing neural controllers and certificates for control systems under model uncertainty. A key chal…