18 citations · 41 across the 7 of their papers we have counts for
7 papers
Online Optimization and Ambiguity-based Learning of Distributionally Uncertain Dynamic Systems
Dan Li, Dariush Fooladivanda, Sonia Martinez
This paper proposes a novel approach to construct data-driven online solutions to optimization problems (P) subject to a class of distributionally uncertain dynamical systems. The…
Online Learning of Parameterized Uncertain Dynamical Environments with Finite-sample Guarantees
Dan Li, Dariush Fooladivanda, Sonia Martinez
We present a novel online learning algorithm for a class of unknown and uncertain dynamical environments that are fully observable. First, we obtain a novel probabilistic character…
High-Confidence Attack Detection via Wasserstein-Metric Computations
Dan Li, Sonia Martínez
This paper considers a sensor attack and fault detection problem for linear cyber-physical systems, which are subject to system noise that can obey an unknown light-tailed distribu…
Data-driven Predictive Control for a Class of Uncertain Control-Affine Systems
Dan Li, Dariush Fooladivanda, Sonia Martinez
This paper studies a data-driven predictive control for a class of control-affine systems which is subject to uncertainty. With the accessibility to finite sample measurements of t…
Data assimilation and online optimization with performance guarantees
Dan Li, Sonia Martinez
This paper considers a class of real-time stochastic optimization problems dependent on an unknown probability distribution. In the considered scenario, data is streaming frequentl…
Data-driven Variable Speed Limit Design for Highways via Distributionally Robust Optimization
Dan Li, Dariush Fooladivanda, Sonia Martinez
This paper introduces an optimization problem (P) and a solution strategy to design variable-speed-limit controls for a highway that is subject to traffic congestion and uncertain…