4 papers
Implicit Neural Networks as Static Controllers: Certificates and Performance Separation
Giuseppe C. Calafiore, Laurent El Ghaoui
Implicit neural controllers (INCs) are static feedback laws that are evaluated through an algebraic fixed point {equation}; they include as special cases neural network controllers…
Class-Based Smart Charging Control for Electric Vehicles
Giuseppe C. Calafiore, Luca Ambrosino, Matteo Della Rossa +1
This paper proposes a stochastic control framework for the operation of electric-vehicle (EV) charging stations equipped with on-site photovoltaic (PV) generation and battery stora…
A Distributionally Robust Reinforcement Learning Framework for Constrained Urban EV Dispatch
An Nguyen, Hoang Nguyen, Phuong Le +3
We study city-scale control of electric-vehicle (EV) ride-hailing fleets where dispatch, repositioning, and charging decisions must respect charger and feeder limits under uncertai…
The Extrapolation Power of Implicit Models
Juliette Decugis, Alicia Y. Tsai, Max Emerling +2
In this paper, we investigate the extrapolation capabilities of implicit deep learning models in handling unobserved data, where traditional deep neural networks may falter. Implic…