3 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
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…