3 citations · 4 across the 4 of their papers we have counts for
5 papers
Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Synthesis and Controller Analysis
Gianluca Bianchin, Miguel Vaquero, Jorge Cortes +1
This paper proposes a data-driven control framework to regulate an unknown, stochastic linear dynamical system to the solution of a (stochastic) convex optimization problem. Despit…
Data-Driven Synthesis of Optimization-Based Controllers for Regulation of Unknown Linear Systems
Gianluca Bianchin, Miguel Vaquero, Jorge Cortes +1
This paper proposes a data-driven framework to solve time-varying optimization problems associated with unknown linear dynamical systems. Making online control decisions to regulat…
Resource-Aware Discretization of Accelerated Optimization Flows
Miguel Vaquero, Pol Mestres, Jorge Cortés
This paper tackles the problem of discretizing accelerated optimization flows while retaining their convergence properties. Inspired by the success of resource-aware control in dev…
A Universal Hamilton-Jacobi Theory
Manuel de León, David Martín de Diego, Miguel Vaquero
In this paper we develop a Hamilton-Jacobi theory in the setting of almost Poisson manifolds. The theory extends the classical Hamilton-Jacobi theory and can be also applied to ver…
Poly-Poisson structures
D. Iglesias-Ponte, J. C. Marrero, M. Vaquero
In this paper we introduce poly-Poisson structures as a higher-order extension of Poisson structures. It is shown that any poly-Poisson structure is endowed with a polysymplectic f…