Search

Your search keyword '"Mauro Gaggero"' showing total 140 results
Start Over Author "Mauro Gaggero"
140 results on '"Mauro Gaggero"'

1. When Time Matters: Predictive Mission Planning in Cyber-Physical Scenarios

Author

Mauro Gaggero, Donato Di Paola, Antonio Petitti, and Luca Caviglione

Subjects
Predictive control, optimization, cyber-physical systems, autonomous agents, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Future cyber-physical systems are expected to exploit autonomous robots to accomplish dangerous or complex missions composed of several tasks. A critical aspect is the availability of suitable mission planning strategies to react against external disturbances or hardware outages. Unfortunately, classic planning approaches may not take advantage of the ability of cyber-physical systems to collect a variety of information from sensors or IoT nodes, which can be used to forecast future events. Therefore, this paper proposes the adoption of predictive control for mission planning. Specifically, predictive control is used to compute online the best time instants when to change the assignment of tasks to robots by solving finite-horizon optimal control problems. The simulation results performed in comparison with “legacy” reactive and proactive strategies showcase the superiority of the proposed approach, especially in scenarios characterized by large disturbances.

Published
2019
Full Text
View/download PDF

2. Optimal Propagating Fronts Using Hamilton-Jacobi Equations

Author

Angelo Alessandri, Patrizia Bagnerini, Roberto Cianci, and Mauro Gaggero

Subjects
hamilton-jacobi equation, normal flow equation, level set methods, optimization, Mathematics, QA1-939
Abstract

The optimal handling of level sets associated to the solution of Hamilton-Jacobi equations such as the normal flow equation is investigated. The goal is to find the normal velocity minimizing a suitable cost functional that accounts for a desired behavior of level sets over time. Sufficient conditions of optimality are derived that require the solution of a system of nonlinear Hamilton-Jacobi equations. Since finding analytic solutions is difficult in general, the use of numerical methods to obtain approximate solutions is addressed by dealing with some case studies in two and three dimensions.

Published
2019
Full Text
View/download PDF

46. Black-Box Modeling and Optimal Control of a Two-Phase Flow Using Level Set Methods

Author

Alberto Traverso, Vincenzo Alessandro Santamaria, Patrizia Bagnerini, Angelo Alessandri, Luca Mantelli, and Mauro Gaggero

Subjects
Artificial neural network, Computer science, Interface (computing), Function (mathematics), Optimal control, Two-phase flow, Physics::Fluid Dynamics, Level set, Flow (mathematics), Control and Systems Engineering, Control theory, Level set methods, Black box, Feedforward neural network, Navier-Stokes equations, Electrical and Electronic Engineering, Neural networks
Abstract

An approach for optimal control of the interface between water and ferrofluid in a 2-D two-phase flow is proposed in the presence of a magnetic field generated by a matrix of driving electromagnets. First, a model combining Navier-Stokes equations and level set methods is developed. Since it is very computationally demanding, an approximate black-box model based on neural networks replacing the original model is constructed for the purpose of control design. In particular, one-hidden-layer feedforward neural networks with a different number of neurons are trained to predict the water-ferrofluid behavior with accuracy. Then, optimal control based on such black-box models is addressed by selecting the currents flowing in the electromagnets that minimize a cost function given by the symmetric difference between the desired shape and the actual interface separating water and ferrofluid. Numerical results based on both simulation and experimental data collected on the field showcase the effectiveness of the proposed approach.

Published
2022
Full Text
View/download PDF

47. Adaptive Vertical Farm for space farming

Author

Patrizia Bagnerini, Echrak Chnib, Mauro Gaggero, Ali Zemouche, and Hochschule für Technik, Wirtschaft und Kultur Leipzig

Subjects
Adaptive Vertical Farm, sowing scheduling, optimization, space greenhouse
Abstract

This work concerns a new concept of vertical farms that can be installed in orbital stations and future lunar settlements in order to produce fresh food for astronauts. The main novelty of this kind of greenhouse lies in the possibility of continuously adapting the volume assigned to each crop to the level of plant growth by automatically moving the shelves, thus allowing to grow a greater number of crops per unit of volume than existing solutions based on vertical farms with fixed shelves. The main results on the production yield estimation of this structure, compared to conventional vertical farms, are presented together with the prospect of future research work.

Published
2023

Catalog

Books, media, physical & digital resources
See catalog results