9 papers · 1 filter
High-Resolution Inertial Dynamics with Time-Rescaled Gradients for Nonsmooth Convex Optimization
Manh Hung Le, Andrea Simonetto
We study nonsmooth convex minimization through a continuous-time dynamical system that can be seen as a high-resolution ODE of Nesterov Accelerated Gradient (NAG) adapted to the no…
Personalized Demand Response via Shape-Constrained Online Learning
Ana M. Ospina, Andrea Simonetto, Emiliano Dall'Anese
This paper formalizes a demand response task as an optimization problem featuring a known time-varying engineering cost and an unknown (dis)comfort function. Based on this model, t…
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization
Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall'Anese
This paper considers an online proximal-gradient method to track the minimizers of a composite convex function that may continuously evolve over time. The online proximal-gradient…
On the Convergence of the Inexact Running Krasnosel'skii-Mann Method
Emiliano Dall'Anese, Andrea Simonetto, Andrey Bernstein
This paper leverages a framework based on averaged operators to tackle the problem of tracking fixed points associated with maps that evolve over time. In particular, the paper con…
Real-time City-scale Ridesharing via Linear Assignment Problems
Andrea Simonetto, Julien Monteil, Claudio Gambella
In this paper, we propose a novel, computational efficient, dynamic ridesharing algorithm. The beneficial computational properties of the algorithm arise from casting the rideshari…
Dynamic Distribution State Estimation Using Synchrophasor Data
Jianhan Song, Emiliano Dall'Anese, Andrea Simonetto +1
The increasing deployment of distribution-level phasor measurement units (PMUs) calls for dynamic distribution state estimation (DDSE) approaches that tap into high-rate measuremen…