9 citations · 26 across the 23 of their papers we have counts for
12 papers · 1 filter
Local-discrepancy ambiguity sets for distributionally robust optimization
Ilias Papagoudis, Dimitris Boskos
In this paper, we introduce a new class of data-driven ambiguity sets for distributionally robust optimization (DRO) that aim to enhance the local inference accuracy of an unknown…
Tractable reformulations of DRO problems over structured optimal transport ambiguity sets
Lotfi M. Chaouach, Tom Oomen, Dimitris Boskos
Structuring ambiguity sets in Wasserstein-based distributionally robust optimization (DRO) can improve their statistical properties when the uncertainty consists of multiple indepe…
Gradient sampling algorithm for subsmooth functions
Dimitris Boskos, Jorge Cortés, Sonia Martínez
This paper considers non-smooth optimization problems where we seek to minimize the pointwise maximum of a continuously parameterized family of functions. Since the objective funct…
Structured ambiguity sets for distributionally robust optimization
Lotfi M. Chaouach, Tom Oomen, Dimitris Boskos
Distributionally robust optimization (DRO) incorporates robustness against uncertainty in the specification of probabilistic models. This paper focuses on mitigating the curse of d…
High-Confidence Data-Driven Ambiguity Sets for Time-Varying Linear Systems
Dimitris Boskos, Jorge Cortés, Sonia Martínez
This paper builds Wasserstein ambiguity sets for the unknown probability distribution of dynamic random variables leveraging noisy partial-state observations. The constructed ambig…
Dynamics of Data-driven Ambiguity Sets for Hyperbolic Conservation Laws with Uncertain Inputs
Francesca Boso, Dimitris Boskos, Jorge Cortés +2
Ambiguity sets of probability distributions are used to hedge against uncertainty about the true probabilities of random quantities of interest (QoIs). When available, these ambigu…
Data-driven ambiguity sets with probabilistic guarantees for dynamic processes
Dimitris Boskos, Jorge Cortés, Sonia Martínez
Distributional ambiguity sets provide quantifiable ways to characterize the uncertainty about the true probability distribution of random variables of interest. This makes them a k…
Observer design for triangular systems under weak observability assumptions
Dionysis Theodosis, Dimitris Boskos, John Tsinias
This paper presents results on the solvability of the observer design problem for general nonlinear triangular systems with inputs, under weak observability assumptions. The local…
Online Abstractions for Interconnected Multi-Agent Control Systems
Dimitris Boskos, Dimos V. Dimarogonas
In this report, we aim at the development of an online abstraction framework for multi-agent systems under coupled constraints. The motion capabilities of each agent are abstracted…
Observer Design for a General Class of Nonlinear Systems
Dimitris Boskos, John Tsinias
The paper deals with the observer design problem for a wide class of triangular nonlinear time-varying systems. The results of the present work generalize previous results in the l…
Observer design for nonlinear triangular systems with unobservable linearization
D. Boskos, J. Tsinias
The paper deals with the observer design problem for a wide class of triangular time-varying nonlinear systems, with unobservable linearization. Sufficient conditions are derived f…
Sufficient Conditions on the Existence of Switching Observers for Nonlinear Time-Varying Systems
D. Boskos, J. Tsinias
We derive sufficient conditions for the solvability of the observer design problem for a wide class of nonlinear time-varying systems, including those having triangular structure.…