Mattia Mattioni

Dr. Mattia Mattioni

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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8 June 2020 in IEEE Control Systems Letters
Verified
Journal Article
Closed access
AMAlessio Moreschini
Alessio Moreschini
MMMattia Mattioni
Mattia Mattioni
SMSalvatore Monaco
Salvatore Monaco
DNDorothée Normand-Cyrot
Dorothée Normand-Cyrot
This letter deals with interconnection and damping assignment for discrete-time port-Hamiltonian systems. Based on a novel state representation, suitably shaped to address energy-based control design, the nonlinear discrete-time controller is characterized and the solution is explicitly computed in the linear case. The design worked out on the exact sampled-data model of a mechanical system confirms the effectiveness of the controller.

18 August 2016 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
SMSalvatore Monaco
Salvatore Monaco
DNDorothee Normand-Cyrot
Dorothee Normand-Cyrot
MMMattia Mattioni
Mattia Mattioni
In this technical note, we show that Immersion and Invariance is a natural framework for the design of sampled-data stabilizing controllers for input-delayed systems. Assuming the existence of a continuous-time feedback in the delay free case, Immersion and Invariance stabilizability of the equivalent sampled-data dynamics is proven. The proof is constructive for the stabilizing controller. Two simulated examples illustrate the performances.

1 February 2017 in Automatica
Verified
Journal Article
Closed access
MMMattia Mattioni
Mattia Mattioni
SMSalvatore Monaco
Salvatore Monaco
DNDorothée Normand-Cyrot
Dorothée Normand-Cyrot

4 March 2019 in IEEE Transactions on Automatic Control
Verified
Journal Article
Open access
MMMattia Mattioni
Mattia Mattioni
SMSalvatore Monaco
Salvatore Monaco
DNDorothée Normand-Cyrot
Dorothée Normand-Cyrot
The paper deals with stabilization of feedforwardmultiple cascade dynamics under sampling. It is shown that u-average passivity concepts and Lyapunov methods can be profitably exploited to provide a systematic sampled-data design procedure. The proposed methodology recalls the continuous-time feedforwarding steps and can be applied under the same assumptions as those set over the continuous-time cascade dynamics. The final sampled feedback is carried out through a three steps procedure that involves iterative passivation and stabilization in the u-average sense. Constructive aspects are developed to compute approximate solutions which are indeed implemented in practice. An example is worked out with comparative simulations with respect to usual sampled-and-hold implementations.

1 December 2021 in Nonlinear Analysis: Hybrid Systems
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Journal Article
Closed access
ACAndrea Cristofaro
Andrea Cristofaro
MMMattia Mattioni
Mattia Mattioni

1 December 2019
Verified
Conference Paper
Open access
AMAlessio Moreschini
Alessio Moreschini
MMMattia Mattioni
Mattia Mattioni
SMSalvatore Monaco
Salvatore Monaco
DNDorothee Normand-Cyrot
Dorothee Normand-Cyrot
The paper discusses the modeling and control of port-controlled Hamiltonian dynamics in a pure discrete-time domain. The main result stands in a novel differential-difference representation of discrete port-controlled Hamiltonian systems using the discrete gradient. In these terms, a passive output map is exhibited as well as a passivity based damping controller underlying the natural involvement of discrete-time average passivity.