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5 papers

eess.SY2026

Implicit Neural Networks as Static Controllers: Certificates and Performance Separation

Giuseppe C. Calafiore, Laurent El Ghaoui

The paper presents a framework for representing neural network controllers as implicit static feedback laws, providing mathematical tools (LMIs, IQCs, Lyapunov analysis) to certify…

math.OC2026

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…

eess.SY2026

A Multi-Criterion Approach to Smart EV Charging with CO2 Emissions and Cost Minimization

Giuseppe C. Calafiore, Luca Ambrosino, Khai Manh Nguyen +3

We study carbon-aware smart charging in a fossil-dominated grid by coupling a simplified hydro-thermal-renewable dispatch model with a tractable linear charging scheduler. The case…

q-fin.RM2025

Default Resilience and Worst-Case Effects in Financial Networks

Giuseppe Calafiore, Giulia Fracastoro, Anton Proskurnikov

In this paper we analyze the resilience of a network of banks to joint price fluctuations of the external assets in which they have shared exposures, and evaluate the worst-case ef…

eess.SY2025

A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty

Trung Duc Tran, Ngoc-Doanh Nguyen, Hong T. M. Chu +3

In this paper, we propose a robust optimization model that addresses both the cost-efficiency and fast charging requirements for electric vehicles (EVs) at charging stations. By co…