278 citations · 1.3k across the 34 of their papers we have counts for
10 papers · 1 filter
SMGO-: Balancing Caution and Reward in Global Optimization with Black-Box Constraints
Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
In numerous applications across all science and engineering areas, there are optimization problems where both the objective function and the constraints have no closed-form express…
SMGO: A Set Membership Approach to Data-Driven Global Optimization
Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
Many science and engineering applications feature non-convex optimization problems where the objective function can not be handled analytically, i.e. it is a black box. Examples in…
Data-driven filtering for linear systems using Set Membership multistep predictors
Marco Lauricella, Lorenzo Fagiano
This paper presents a novel data-driven, direct filtering approach for unknown linear time-invariant systems affected by unknown-but-bounded measurement noise. The proposed techniq…
Set Membership identification of linear systems with guaranteed simulation accuracy
Marco Lauricella, Lorenzo Fagiano
The problem of model identification for linear systems is considered, using a finite set of sampled data affected by a bounded measurement noise, with unknown bound. The objective…
Guaranteed simulation error bounds for linear time invariant systems identified from data
Marco Lauricella, Lorenzo Fagiano
This is a technical report that extends and clarifies the results presented in [1]. The model identification problem for asymptotically stable linear time invariant systems is cons…
Identification of Induction Motors with Smart Circuit Breakers
Lorenzo Fagiano, Marco Lauricella, Daniele Angelosante +1
The problem of estimating the parameters of induction motor models is considered, using the data measured by a circuit breaker equipped with industrial sensors. The measured data p…
On the Take-off of Airborne Wind Energy Systems Based on Rigid Wings
Lorenzo Fagiano, Stephan Schnez
The problem of launching a tethered aircraft to be used for airborne wind energy generation is investigated. Exploiting well-assessed physical principles, an analysis of three diff…
Order Reduction of the Radiative Heat Transfer Model for the Simulation of Plasma Arcs
Lorenzo Fagiano, Rudolf Gati
An approach to derive low-complexity models describing thermal radiation for the sake of simulating the behavior of electric arcs in switchgear systems is presented. The idea is to…
The Scenario Approach for Stochastic Model Predictive Control with Bounds on Closed-Loop Constraint Violations
Georg Schildbach, Lorenzo Fagiano, Christoph Frei +1
Many practical applications of control require that constraints on the inputs and states of the system be respected, while optimizing some performance criterion. In the presence of…
Randomized Solutions to Convex Programs with Multiple Chance Constraints
Georg Schildbach, Lorenzo Fagiano, Manfred Morari
The scenario-based optimization approach (`scenario approach') provides an intuitive way of approximating the solution to chance-constrained optimization programs, based on finding…