Federico Califano

Prof. Federico Califano


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 July 2020 in IMA Journal of Mathematical Control and Information
Verified
Journal Article
Open access
PDF file
RRRamy Rashad
Ramy Rashad
Federico CalifanoFederico Califano
Federico Califano
ASArjan J van der Schaft
Arjan J van der Schaft
SSStefano Stramigioli
Stefano Stramigioli
The port-Hamiltonian (pH) theory for distributed parameter systems has developed greatly in the past two decades. The theory has been successfully extended from finite-dimensional to infinite-dimensional systems through a lot of research efforts. This article collects the different research studies carried out for distributed pH systems. We classify over a hundred and fifty studies based on different research focuses ranging from modeling, discretization, control and theoretical foundations. This literature review highlights the wide applicability of the pH systems theory to complex systems with multi-physical domains using the same tools and language. We also supplement this article with a bibliographical database including all papers reviewed in this paper classified in their respective groups.

2 August 2019 in IEEE Robotics and Automation Letters
Verified
Journal Article
Closed access
RRRamy Rashad
Ramy Rashad
Federico CalifanoFederico Califano
Federico Califano
SSStefano Stramigioli
Stefano Stramigioli
In this work, we approach the control problem of fully-actuated UAVs in a geometric port-Hamiltonian framework. The UAV is modeled as a floating rigid body on the special Euclidean group SE(3). A unified near-hovering motion and impedance controller is derived by the energy-balancing passivity-based control technique. A detailed analysis of the closed-loop system's behavior is presented for both the free-flight stability and contact stability of the UAV. The robustness of the control system to uncertainties is validated by several experiments, in which the UAV is controlled near its actuator limits. The experiments show the ability of the UAV to hover at its maximum allowed roll angle and apply its maximum allowed normal force to a surface, without the input saturation destabilizing the system.

1 June 2021 in Journal of Geometry and Physics
Verified
Journal Article
Open access
RRRamy Rashad
Ramy Rashad
Federico CalifanoFederico Califano
Federico Califano
FSFrederic P. Schuller
Frederic P. Schuller
SSStefano Stramigioli
Stefano Stramigioli

1 June 2019 in Systems & Control Letters
Verified
Journal Article
Closed access
AHAnthony Hastir
Anthony Hastir
Federico CalifanoFederico Califano
Federico Califano
HZHans Zwart
Hans Zwart

1 June 2021 in Journal of Geometry and Physics
Verified
Journal Article
Open access
RRRamy Rashad
Ramy Rashad
Federico CalifanoFederico Califano
Federico Califano
FSFrederic P. Schuller
Frederic P. Schuller
SSStefano Stramigioli
Stefano Stramigioli

1 September 2018 in Automatica
Verified
Journal Article
Closed access
AMAlessandro Macchelli
Alessandro Macchelli
Federico CalifanoFederico Califano
Federico Califano