41 citations · 146 across the 24 of their papers we have counts for
30 papers
A neural network-based approach to hybrid systems identification for control
Filippo Fabiani, Bartolomeo Stellato, Daniele Masti +1
We consider the problem of designing a machine learning-based model of an unknown dynamical system from a finite number of (state-input)-successor state data points, such that the…
Probably approximately correct stability of allocations in uncertain coalitional games with private sampling
George Pantazis, Filiberto Fele, Filippo Fabiani +2
We study coalitional games with exogenous uncertainty in the coalition value, in which each agent is allowed to have private samples of the uncertainty. As a consequence, the agent…
Generalized uncertain Nash games: Reformulation and robust equilibrium seeking -- Extended version
Marta Fochesato, Filippo Fabiani, John Lygeros
We consider generalized Nash equilibrium problems (GNEPs) with linear coupling constraints affected by both local (i.e., agent-wise) and global (i.e., shared resources) disturbance…
Counter-example guided inductive synthesis of control Lyapunov functions for uncertain systems
Daniele Masti, Filippo Fabiani, Giorgio Gnecco +1
We propose a counter-example guided inductive synthesis (CEGIS) scheme for the design of control Lyapunov functions and associated state-feedback controllers for linear systems aff…
Incentives and co-evolution: Steering linear dynamical systems with noncooperative agents
Filippo Fabiani, Andrea Simonetto
Modern socio-technical systems typically consist of many interconnected users and competing service providers, where notions like market equilibrium are tightly connected to the ``…
An active learning method for solving competitive multi-agent decision-making and control problems
Filippo Fabiani, Alberto Bemporad
To identify a stationary action profile for a population of competitive agents, each executing private strategies, we introduce a novel active-learning scheme where a centralized e…
Tracking-based distributed equilibrium seeking for aggregative games
Guido Carnevale, Filippo Fabiani, Filiberto Fele +2
We propose fully-distributed algorithms for Nash equilibrium seeking in aggregative games over networks. We first consider the case where local constraints are present and we desig…
Robust stabilization of polytopic systems via fast and reliable neural network-based approximations
Filippo Fabiani, Paul J. Goulart
We consider the design of fast and reliable neural network (NN)-based approximations of traditional stabilizing controllers for linear systems with polytopic uncertainty, including…
A stochastic generalized Nash equilibrium model for platforms competition in the ride-hail market
Filippo Fabiani, Barbara Franci
The presence of uncertainties in the ride-hailing market complicates the pricing strategies of on-demand platforms that compete each other to offer a mobility service while strivin…
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems
Filippo Fabiani, Barbara Franci, Simone Sagratella +2
We consider potential games with mixed-integer variables, for which we propose two distributed, proximal-like equilibrium seeking algorithms. Specifically, we focus on two scenario…
Personalized incentives as feedback design in generalized Nash equilibrium problems
Filippo Fabiani, Andrea Simonetto, Paul J. Goulart
We investigate both stationary and time-varying, nonmonotone generalized Nash equilibrium problems that exhibit symmetric interactions among the agents, which are known to be poten…
Probabilistically robust stabilizing allocations in uncertain coalitional games
George Pantazis, Filippo Fabiani, Filiberto Fele +1
In this paper we consider multi-agent coalitional games with uncertain value functions for which we establish distribution-free guarantees on the probability of allocation stabilit…
Reliably-stabilizing piecewise-affine neural network controllers
Filippo Fabiani, Paul J. Goulart
A common problem affecting neural network (NN) approximations of model predictive control (MPC) policies is the lack of analytical tools to assess the stability of the closed-loop…
Learning equilibria with personalized incentives in a class of nonmonotone games
Filippo Fabiani, Andrea Simonetto, Paul J. Goulart
We consider quadratic, nonmonotone generalized Nash equilibrium problems with symmetric interactions among the agents. Albeit this class of games is known to admit a potential func…
Asymptotic Incidence Rate estimation of SARS-COVID-19 via a Polya process scheme: a comparative analysis in Italy and European Countries
Filippo Carone Fabiani
During an ongoing epidemic, especially in the case of a new agent, data are partial and sparse, also affected by external factors as for example climatic effects or preparedness an…
Pursuing robust decisions in uncertain traffic equilibrium problems
Filippo Fabiani
We evaluate the robustness of agents' traffic equilibria in randomized routing games characterized by an uncertain network demand with a possibly unknown probability distribution.…
Extremum seeking control of a class of constrained nonlinear systems
Shuai Yuan, Filippo Fabiani, Simone Baldi
This paper studies the extremum seeking control (ESC) problem for a class of constrained nonlinear systems. Specifically, we focus on a family of constraints allowing to reformulat…
Probabilistic stabilizability certificates for a class of black-box linear systems
Filippo Fabiani, Kostas Margellos, Paul J. Goulart
We provide out-of-sample certificates on the controlled invariance property of a given set with respect to a class of black-box linear systems. Specifically, we consider linear tim…
Lightning optimizes: a threshold mechanism ensures minimum-path flow
Franco Blanchini, Daniele Casagrande, Filippo Fabiani +3
A well-known property of linear resistive electrical networks is that the current distribution minimizes the total dissipated energy. When the circuit includes resistors with nonli…
Local Stackelberg equilibrium seeking in generalized aggregative games
Filippo Fabiani, Mohammad Amin Tajeddini, Hamed Kebriaei +1
We propose a two-layer, semi-decentralized algorithm to compute a local solution to the Stackelberg equilibrium problem in aggregative games with coupling constraints. Specifically…
On the robustness of equilibria in generalized aggregative games
Filippo Fabiani, Kostas Margellos, Paul J. Goulart
We address the problem of assessing the robustness of the equilibria in uncertain, multi-agent games. Specifically, we focus on generalized Nash equilibrium problems in aggregative…
Probabilistic feasibility guarantees for solution sets to uncertain variational inequalities
Filippo Fabiani, Kostas Margellos, Paul J. Goulart
We develop a data-driven approach to the computation of a-posteriori feasibility certificates to the solution sets of variational inequalities affected by uncertainty. Specifically…
The optimal transport paradigm enables data compression in data-driven robust control
Filippo Fabiani, Paul J. Goulart
A new data-enabled control technique for uncertain linear time-invariant systems, recently conceived by Coulson et\ al., builds upon the direct optimization of controllers over inp…
A preconditioned Forward-Backward method for partially separable SemiDefinite Programs
Filippo Fabiani, Sergio Grammatico
We present semi-decentralized and distributed algorithms, designed via a preconditioned forward-backward operator splitting, for solving large-scale, decomposable semidefinite prog…