85 citations · 102 across the 14 of their papers we have counts for
5 papers · 1 filter
Planning a Return to Normal after the COVID-19 Pandemic: Identifying Safe Contact Levels via Online Optimization
Gianluca Bianchin, Emiliano Dall'Anese, Jorge I. Poveda +3
Since the early months of 2020, non-pharmaceutical interventions (NPIs) -- implemented at varying levels of severity and based on widely-divergent perspectives of risk tolerance --…
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…
Online Projected Gradient Descent for Stochastic Optimization with Decision-Dependent Distributions
Killian Wood, Gianluca Bianchin, Emiliano Dall'Anese
This paper investigates the problem of tracking solutions of stochastic optimization problems with time-varying costs that depend on random variables with decision-dependent distri…
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…
Time-Varying Optimization of LTI Systems via Projected Primal-Dual Gradient Flows
Gianluca Bianchin, Jorge Cortes, Jorge I. Poveda +1
This paper investigates the problem of regulating in real time a linear dynamical system to the solution trajectory of a time-varying constrained convex optimization problem. The p…