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20132024
most citedIdentification of nonlinear controllers from data: theory and computation

24 citations · 40 across the 12 of their papers we have counts for

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12 papers · 1 filter

eess.SY2024

On the Scientific Method: The Role of Hypotheses and Involved Mathematics

Mario Milanese, Carlo Novara, Michele Taragna

The paper investigates the role of data, hypotheses and mathematical methods that can be used in the discovery of a law y=fo(u), relating variables u and y of a physical phenomenon…

eess.SY2023

Set Membership based Nonlinear Model Predictive Control

Mattia Boggio, Carlo Novara, Michele Taragna

We present a numerically efficient Nonlinear Model Predictive Control (NMPC) approach, called Set Membership based NMPC (SM-NMPC). In particular, a Set Membership method is used to…

eess.SY2022

Embedded Model Control of Networked Control Systems: an Experimental Case-study -- Stability analysis and further results

Luca Nanu, Carlos Perez Montenegro, Luigi Colangelo +1

In Networked Control Systems (NCS), the absence of physical communication links in the loop leads to relevant issues, such as measurement delays and asynchronous execution of the c…

eess.SY2019

Nonlinear system identification in Sobolev spaces

Carlo Novara, Angelo Nicolì, Giuseppe C. Calafiore

We consider the problem of deriving from experimental data an approximation of an unknown function, whose derivatives also approximate the unknown function derivatives. Solving thi…

eess.SY2019★ 5 cited

Feedback Linearization for Quadrotors UAV

Mauricio Alejandro Lotufo, Luigi Colangelo, Carlo Novara

In the paper "Control Design for UAV Quadrotors via Embedded Model Control" [1], the authors designed a complete control unit for a UAV Quadrotor, based on the Embedded Model Contr…

eess.SY2018★ 1 cited

Data-Driven Inversion-Based Control: closed-loop stability analysis for MIMO systems

Carlo Novara, Simone Formentin

Data-Driven Inversion-Based Control (D-IBC) is a recently introduced control design method for uncertain nonlinear systems, relying on a two degree-of-freedom architecture, w…

eess.SY2016

Leading Impulse Response Identification via the Weighted Elastic Net Criterion

Giuseppe C. Calafiore, Carlo Novara, Michele Taragna

This paper deals with the problem of finding a low-complexity estimate of the impulse response of a linear time-invariant discrete-time dynamic system from noise-corrupted input-ou…

eess.SY2015★ 1 cited

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…

eess.SY2014★ 7 cited

Data-driven controller design for nonlinear systems: a two degrees of freedom architecture

Carlo Novara, Simone Formentin

In this paper, the D2-IBC (Data-Driven Inversion Based Control) approach for nonlinear control is introduced and analyzed. The method does not require any a-priori knowledge of the…

eess.SY2014

Direct design of LPV feedback controllers: technical details and numerical examples

Carlo Novara

The paper contains technical details of recent results developed by the author, regarding the design of LPV controllers directly from experimental data. Two numerical examples are…

eess.SY2013★ 1 cited

Sparse Identification of Posynomial Models

Giuseppe C. Calafiore, Laurent El Ghaoui, Carlo Novara

Posynomials are nonnegative combinations of monomials with possibly fractional and both positive and negative exponents. Posynomial models are widely used in various engineering de…

eess.SY2013★ 24 cited

Identification of nonlinear controllers from data: theory and computation

Lorenzo Fagiano, Carlo Novara

This manuscript contains technical details and proofs of recent results developed by the authors, pertaining to the design of nonlinear controllers from the experimental data measu…