278 citations · 1.3k across the 34 of their papers we have counts for
37 papers
On the Kite-Platform Interactions in Offshore Airborne Wind Energy Systems: Frequency Analysis and Control Approach
Sofia Trombini, Edoardo Pasta, Lorenzo Fagiano
This study investigates deep offshore, pumping Airborne Wind Energy systems, focusing on the kite-platform interaction. The considered system includes a 360 m2 soft-wing kite, conn…
Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology
Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger +1
In control system networks, reconfiguration of the controller when agents are leaving or joining the network is still an open challenge, in particular when operation constraints th…
Multi-agent Distributed Model Predictive Control with Connectivity Constraint
Andrea Carron, Danilo Saccani, Lorenzo Fagiano +1
In cooperative multi-agent robotic systems, coordination is necessary in order to complete a given task. Important examples include search and rescue, operations in hazardous envir…
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…
An optimal reeling control strategy for pumping airborne wind energy systems without wind speed feedback
Andrea Berra, Lorenzo Fagiano
Pumping airborne wind energy (AWE) systems employ a kite to convert wind energy into electricity, through a cyclic reeling motion of the tether. The problem of computing the optima…
Robust multi-rate predictive control using multi-step prediction models learned from data
Enrico Terzi, Lorenzo Fagiano, Marcello Farina +1
This note extends a recently proposed algorithm for model identification and robust MPC of asymptotically stable, linear time-invariant systems subject to process and measurement d…
Hierarchical routing control in discrete manufacturing plants via model predictive path allocation and greedy path following
Lorenzo Fagiano, Marko Tanaskovic, Lenin Cucas Mallitasig +2
The problem of real-time control and optimization of components' routing in discrete manufacturing plants, where distinct items must undergo a sequence of jobs, is considered. This…
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…
Control of a Rigid Wing Pumping Airborne Wind Energy System in all Operational Phases
Davide Todeschini, Lorenzo Fagiano, Claudio Micheli +1
The control design of an airborne wind energy system with rigid aircraft, vertical take-off and landing, and pumping operation is described. A hierarchical control structure is imp…
LiDAR-Based Navigation of Tethered Drone Formations in an Unknown Environment
Michele Bolognini, Lorenzo Fagiano
The problem of navigating a formation of interconnected tethered drones, named STEM (System of TEthered Multicopters), in an unknown environment is considered. The tethers feed ele…
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…
Scenario optimization for optimal training of Echo State Networks
Luca Bugliari Armenio, Lorenzo Fagiano, Enrico Terzi +2
Echo State Networks (ESNs) are widely-used Recurrent Neural Networks. They are dynamical systems including, in state-space form, a nonlinear state equation and a linear output tran…
Learning-based predictive control for linear systems: a unitary approach
Enrico Terzi, Lorenzo Fagiano, Marcello Farina +1
A comprehensive approach addressing identification and control for learningbased Model Predictive Control (MPC) for linear systems is presented. The design technique yields a data-…
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 shrinking horizon move-blocking predictive control
Hafsa Farooqi, Lorenzo Fagiano, Patrizio Colaneri
This manuscript contains technical details of recent results developed by the authors on shrinking horizon predictive control with a move-blocking strategy.
On multi-step prediction models for receding horizon control
Enrico Terzi, Lorenzo Fagiano, Marcello Farina +1
The derivation of multi-step-ahead prediction models from sampled data of a linear system is considered. A dedicated prediction model is built for each future time step of interest…
Adaptive model predictive control for constrained, linear time varying systems
M. Tanaskovic, L. Fagiano, V. Gligorovski
This manuscript contains technical details of recent results developed by the authors on adaptive model predictive control for constrained linear, time varying systems.
A Small-Scale Prototype to Study the Take-Off of Tethered Rigid Aircrafts for Airborne Wind Energy
Lorenzo Fagiano, Eric Nguyen-Van, Felix Rager +2
The design of a prototype to carry out take-off and flight tests with tethered aircrafts is presented. The system features a ground station equipped with a winch and a linear motio…
Autonomous Take-Off and Flight of a Tethered Aircraft for Airborne Wind Energy
Lorenzo Fagiano, Eric Nguyen-Van, Felix Rager +2
A control design approach to achieve fully autonomous take-off and flight maneuvers with a tethered aircraft is presented and demonstrated in real-world flight tests with a small-s…
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…
Autonomous take-off and landing of a tethered aircraft: a simulation study
Eric Nguyen Van, Lorenzo Fagiano, Stephan Schnez
The problem of autonomous launch and landing of a tethered rigid aircraft for airborne wind energy generation is addressed. The system operates with ground-based power conversion a…
On-line direct data driven controller design approach with automatic update for some of the tuning parameters
Marko Tanaskovic, Lorenzo Fagiano, Carlo Novara +1
This manuscript contains technical details of recent results developed by the authors on the algorithm for direct design of controllers for nonlinear systems from data that has the…