"Fast" set membership H∞ identification from frequency-domain data. - Mario Milanese; Carlo Novara; Michele Taragna (ECC, 2001)

Model quality in nonlinear SM identification. - Mario Milanese; Carlo Novara (CDC, 2003)

Structured experimental modeling of complex nonlinear systems. - Mario Milanese; Carlo Novara; Luca Pivano (CDC, 2003)

Set Membership identification of nonlinear systems. - Mario Milanese; Carlo Novara (Autom., 2004)

Nonlinear Set Membership prediction of river flow. - Mario Milanese; Carlo Novara (Syst. Control. Lett., 2004)

Semi-active suspension control using "fast" model predictive control. - Massimo Canale; Mario Milanese; Carlo Novara; Zuheir Ahmad (ACC, 2005)

Identification of Nonlinear Maps in Interconnected Systems. - Kenneth Hsu; Tyrone Vincent; Carlo Novara; Mario Milanese; Kameshwar Poolla (CDC/ECC, 2005)

Model quality in identification of nonlinear systems. - Mario Milanese; Carlo Novara (IEEE Trans. Autom. Control., 2005)

Set membership prediction of nonlinear time series. - Mario Milanese; Carlo Novara (IEEE Trans. Autom. Control., 2005)

Filter design from data: direct vs. two-step approaches. - Mario Milanese; Carlo Novara; Kenneth Hsu; Kameshwar Poolla (ACC, 2006)

Parametric and nonparametric curve fitting. - Kenneth Hsu; Carlo Novara; Tyrone L. Vincent; Mario Milanese; Kameshwar Poolla (Autom., 2006)

Semi-Active Suspension Control Using "Fast" Model-Predictive Techniques. - Massimo Canale; Mario Milanese; Carlo Novara (IEEE Trans. Control. Syst. Technol., 2006)

Experiment design in Nonlinear Set Membership identification. - Carlo Novara (ACC, 2007)

NSM constrained approximation with application to fast predictive control. - Massimo Canale; Carlo Novara; Mario Milanese (CDC, 2007)

Computation of local radius of information in SM-IBC identification of nonlinear systems. - Mario Milanese; Carlo Novara (J. Complex., 2007)

Left-inversion of nonlinear fading memory systems from data. - Carlo Novara; Massimo Canale; Mario Milanese (CDC, 2008)

Direct identification of optimal filters for LPV systems. - Carlo Novara; Fredy Ruiz; Mario Milanese (CDC, 2008)

A Nonlinear IMC approach using model inversion from data. - Massimo Canale; Carlo Novara; Maria Carmela Signorile (CDC, 2009)

A new approach to optimal filter design for nonlinear systems. - Carlo Novara; Fredy Ruiz; Mario Milanese (CDC, 2009)

Set membership approximations of Predictive Control laws: The tradeoff between accuracy and complexity. - Massimo Canale; Lorenzo Fagiano; Mario Milanese; Carlo Novara (ECC, 2009)

A nonlinear IMC approach to vehicle yaw control. - Massimo Canale; Carlo Novara; Maria Carmela Signorile (ECC, 2009)

Distortion Prediction for Video Quality Optimization over Packet Switched Networks. - Andrea Vesco; Enrico Masala; Carlo Novara (GLOBECOM, 2009)

The filter design from data (FD2) problem: Nonlinear Set Membership approach. - Mario Milanese; Carlo Novara; Kenneth Hsu; Kameshwar Poolla (Autom., 2009)

Vehicle Side-slip Angle Estimation using a Direct MH Estimator. - Massimo Canale; Lorenzo Fagiano; Carlo Novara (CCA, 2010)

A direct Moving Horizon approach to vehicle side-slip angle estimation. - Massimo Canale; Lorenzo Fagiano; Carlo Novara (CDC, 2010)

Input design for structured nonlinear system identification. - Tyrone L. Vincent; Carlo Novara; Kenneth Hsu; Kameshwar Poolla (Autom., 2010)

NSM constrained approximation of Lipschitz functions from data. - Massimo Canale; Carlo Novara; Mario Milanese (Syst. Control. Lett., 2010)

Direct design from data of optimal filters for LPV systems. - Fredy Ruiz; Carlo Novara; Mario Milanese (Syst. Control. Lett., 2010)

Direct data-driven inverse control of a power kite for high altitude wind energy conversion. - Carlo Novara; Lorenzo Fagiano; Mario Milanese (CCA, 2011)

On the guaranteed accuracy of Polynomial Chaos Expansions. - Lorenzo Fagiano; Mustafa Khammash; Carlo Novara (CDC/ECC, 2011)

Improvement of Moving Horizon Estimators via Direct Virtual Sensor techniques. - Lorenzo Fagiano; Carlo Novara (CDC/ECC, 2011)

Sparse Set Membership identification of nonlinear functions and application to control of power kites for wind energy conversion. - Carlo Novara; Lorenzo Fagiano; Mario Milanese (CDC/ECC, 2011)

Unified Set Membership theory for identification, prediction and filtering of nonlinear systems. - Mario Milanese; Carlo Novara (Autom., 2011)

Parametric identification of structured nonlinear systems. - Carlo Novara; Tyrone L. Vincent; Kenneth Hsu; Mario Milanese; Kameshwar Poolla (Autom., 2011)

Direct Identification of Optimal SM-LPV Filters and Application to Vehicle Yaw Rate Estimation. - Carlo Novara; Fredy Ruiz; Mario Milanese (IEEE Trans. Control. Syst. Technol., 2011)

DFK control design for nonlinear systems. - Carlo Novara; Lorenzo Fagiano; Mario Milanese (CDC, 2012)

Robustly optimal filter design for nonlinear systems. - Carlo Novara; Fredy Ruiz; Mario Milanese (CDC, 2012)

Sparse Identification of Nonlinear Functions and Parametric Set Membership Optimality Analysis. - Carlo Novara (IEEE Trans. Autom. Control., 2012)

A sparse Set Membership approach to interval estimation of nonlinear functions and application to fault detection. - Carlo Novara (CDC, 2013)

Direct design from data of LPV feedback controllers. - Carlo Novara (CDC, 2013)

A combined Moving Horizon and Direct Virtual Sensor approach for constrained nonlinear estimation. - Lorenzo Fagiano; Carlo Novara (Autom., 2013)

Direct feedback control design for nonlinear systems. - Carlo Novara; Lorenzo Fagiano; Mario Milanese (Autom., 2013)

Mixed parametric/non-parametric identification of systems with discontinuous nonlinearities. - Tyrone L. Vincent; Carlo Novara (Autom., 2013)

Sparse Identification of Polynomial and Posynomial Models. - Giuseppe Carlo Calafiore; Laurent El Ghaoui; Carlo Novara (CoRR, 2013)

Identification of nonlinear controllers from data: theory and computation. - Lorenzo Fagiano; Carlo Novara (CoRR, 2013)

Direct Filtering: A New Approach to Optimal Filter Design for Nonlinear Systems. - Carlo Novara; Fredy Ruiz; Mario Milanese (IEEE Trans. Autom. Control., 2013)

Learning a nonlinear controller from data: Theory and computation. - Lorenzo Fagiano; Carlo Novara (CDC, 2014)

Direct design of LPV feedback controllers: technical details, proofs and a numerical example. - Carlo Novara (CoRR, 2014)

Data-driven controller design for nonlinear systems: a two degrees of freedom architecture. - Carlo Novara; Simone Formentin (CoRR, 2014)

Control of nonlinear systems: a model inversion approach. - Carlo Novara; Mario Milanese (CoRR, 2014)

A DVS-MHE Approach to Vehicle Side-Slip Angle Estimation. - Massimo Canale; Lorenzo Fagiano; Carlo Novara (IEEE Trans. Control. Syst. Technol., 2014)

A data-driven approach to nonlinear braking control. - Carlo Novara; Simone Formentin; Sergio M. Savaresi; Mario Milanese (CDC, 2015)

Sparse identification of posynomial models. - Giuseppe Carlo Calafiore; Laurent El Ghaoui; Carlo Novara (Autom., 2015)

Polynomial model inversion control: numerical tests and applications. - Carlo Novara (CoRR, 2015)

On-line direct data driven controller design approach with automatic update for some of the tuning parameters. - Marko Tanaskovic; Lorenzo Fagiano; Carlo Novara; Manfred Morari (CoRR, 2015)

Direct Design of Discrete-Time LPV Feedback Controllers. - Carlo Novara (IEEE Trans. Autom. Control., 2015)

The four-tank benchmark: A simple solution by Embedded Model Control. - Congzhi Huang; Enrico S. Canuto; Carlo Novara (ACC, 2016)

Leading impulse response identification via the weighted elastic net criterion. - Giuseppe Carlo Calafiore; Carlo Novara; Michele Taragna (CDC, 2016)

A data-driven model inversion approach to cancer immunotherapy control. - Carlo Novara; Milad Karimshoushtari (CDC, 2016)

Identification and control of a quadrotor from experimental data. - Mauricio A. Lotufo; Carlos Perez-Montegro; Luigi Colangelo; Enrico S. Canuto; Carlo Novara (MED, 2016)

Feasibility analysis of sustainable methods through manufacturing algebra and Monte-Carlo simulations. - Carlos Perez-Montenegro; Carlo Novara; Enrico S. Canuto; Diomar Calderon; Adolfo Vargas (MED, 2016)

Optimal Strategies for Adaptive Cruise Control. - Clement U. Mba; Carlo Novara (SMARTGREENS/VEHITS (Selected Papers), 2016)

Evaluation and Optimization of Adaptive Cruise Control Policies Via Numerical Simulations. - Clement U. Mba; Carlo Novara (VEHITS, 2016)

Data-driven design of two degree-of-freedom nonlinear controllers: The -IBC approach. - Carlo Novara; Simone Formentin; Sergio M. Savaresi; Mario Milanese (Autom., 2016)

Learning a Nonlinear Controller From Data: Theory, Computation, and Experimental Results. - Lorenzo Fagiano; Carlo Novara (IEEE Trans. Autom. Control., 2016)

A Nonlinear Blind Identification Approach to Modeling of Diabetic Patients. - Carlo Novara; N. Mohammad Pour; Tyrone Vincent; Giorgio Grassi (IEEE Trans. Control. Syst. Technol., 2016)

Control of MIMO nonlinear systems via approximate model inversion. - Giuseppe Carlo Calafiore; Carlo Novara (CDC, 2017)

A flow optimization approach for the rebalancing of mobility on demand systems. - Giuseppe Carlo Calafiore; Carlo Novara; Francesco Portigliotti; Alessandro Rizzo (CDC, 2017)

Lean NOx trap regeneration control: A data-driven MPC approach. - Milad Karimshoushtari; Carlo Novara (CDC, 2017)

Polynomial classification model for real-time fall prediction system. - Masoud Hemmatpour; Milad Karimshoushtari; Renato Ferrero; Bartolomeo Montrucchio; Maurizio Rebaudengo; Carlo Novara (COMPSAC (1), 2017)

APSEplus: a MATLAB toolbox for parametric energy simulation of reference buildings. - Giuseppe Carlo Calafiore; Carlo Tommolillo; Carlo Novara; E. Fabrizio (ICSCA, 2017)

Leading impulse response identification via the Elastic Net criterion. - Giuseppe Carlo Calafiore; Carlo Novara; Michele Taragna (Autom., 2017)

Data-driven control of nonlinear systems: An on-line direct approach. - Marko Tanaskovic; Lorenzo Fagiano; Carlo Novara; Manfred Morari (Autom., 2017)

Data-driven polynomial MPC and application to blood glucose regulation in a diabetic patient. - Carlo Novara; Ivana Rabbone; Davide Tinti (ECC, 2018)

Data-Driven Inversion-Based Control: closed-loop stability analysis for MIMO systems. - Carlo Novara; Simone Formentin (CoRR, 2018)

Data-Driven Inversion-Based Control of Nonlinear Systems With Guaranteed Closed-Loop Stability. - Carlo Novara; Simone Formentin (IEEE Trans. Autom. Control., 2018)

Random Coordinate Minimization Method with Eventual Transverse Directions for Constrained Polynomial Optimization. - Giuseppe Carlo Calafiore; Carlo Novara; Corrado Possieri (CDC, 2019)

Asynchronous Multi-rate Sampled-data Control: an Embedded Model Control Perspective. - Carlos Perez-Montenegro; Luigi Colangelo; Jose Pardo; Alessandro Rizzo; Carlo Novara (CDC, 2019)

Control of MIMO nonlinear systems: A data-driven model inversion approach. - Carlo Novara; Mario Milanese (Autom., 2019)

Feedback Linearization for Quadrotors UAV. - Mauricio Alejandro Lotufo; Luigi Colangelo; Carlo Novara (CoRR, 2019)

A novel algorithm for integrated control model using swarm robots for intruder detection and rescue schedules. - Gul Rukh Khan; Carlo Novara; Khalid Haseeb; Atif Ishtiaq (Telecommun. Syst., 2019)

Subspace Identification of a Glucose-Insulin model Using Meal Tracer Protocol Measurements. - Ali Al-Matouq; Mohammed Alshahrani; Carlo Novara (ACC, 2020)

A Modified SIR Model for the COVID-19 Contagion in Italy. - Giuseppe Carlo Calafiore; Carlo Novara; Corrado Possieri (CDC, 2020)

A time-varying SIRD model for the COVID-19 contagion in Italy. - Giuseppe Carlo Calafiore; Carlo Novara; Corrado Possieri (Annu. Rev. Control., 2020)

Design of experiments for nonlinear system identification: A set membership approach. - Milad Karimshoushtari; Carlo Novara (Autom., 2020)

A Finite-Time Local Observer in the Original Coordinates for Nonlinear Control Systems. - Corrado Possieri; Simone Vidano; Carlo Novara (IEEE Trans. Autom. Control., 2020)

Sparse Reconstruction of Glucose Fluxes Using Continuous Glucose Monitors. - Ali Al-Matouq; Taous-Meriem Laleg-Kirati; Carlo Novara; Ivana Rabbone; Tyrone Vincent (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Control Design for UAV Quadrotors via Embedded Model Control. - Mauricio Alejandro Lotufo; Luigi Colangelo; Carlo Novara (IEEE Trans. Control. Syst. Technol., 2020)

Data-Driven Disturbance Estimation and Control With Application to Blood Glucose Regulation. - Carlo Novara; Ivana Rabbone; Davide Tinti (IEEE Trans. Control. Syst. Technol., 2020)

Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3. - Norbert Druml; Anna Ryabokon; Rupert Schorn; Jochen Koszescha; Kaspars Ozols; Aleksandrs Levinskis; Rihards Novickis; Ethiopia Nigussie; Jouni Isoaho; Selim Solmaz; Georg Stettinger; Sergio E. Diaz; et al. (DSD, 2021)

A Supervisor Αgent-Based on the Markovian Decision Process Framework to Optimize the Behavior of a Highly Automated System. - Andrea Castellano; Milad Karimshoushtari; Carlo Novara; Fabio Tango (HCI (15), 2021)

How Imitation Learning and Human Factors Can Be Combined in a Model Predictive Control Algorithm for Adaptive Motion Planning and Control. - Milad Karimshoushtari; Carlo Novara; Fabio Tango (Sensors, 2021)

A penalty function approach to constrained Pontryagin-based Nonlinear Model Predictive Control. - Michele Pagone; Mattia Boggio; Carlo Novara; Anton V. Proskurnikov; Giuseppe Carlo Calafiore (CDC, 2022)

A barrier function approach to constrained Pontryagin-based Nonlinear Model Predictive Control. - Michele Pagone; Mattia Boggio; Carlo Novara; Anton V. Proskurnikov; Giuseppe Carlo Calafiore (CoRR, 2022)

Embedded Model Control of Networked Control Systems: an Experimental Case-study - Stability analysis and further results. - Luca Nanu; Carlos Perez-Montenegro; Luigi Colangelo; Carlo Novara (CoRR, 2022)

Control analysis and design via randomised coordinate polynomial minimisation. - Giuseppe Carlo Calafiore; Carlo Novara; Corrado Possieri (Int. J. Control, 2022)

Earth Gravity In-Orbit Sensing: MPC Formation Control Based on a Novel Constellation Model. - Mattia Boggio; Luigi Colangelo; Mario Virdis; Michele Pagone; Carlo Novara (Remote. Sens., 2022)

Design of Super-Twisting Sliding Mode Observer for LISA Mission Micro-Meteoroid Impact. - Dario Ruggiero; Elisa Capello; Carlo Novara; Jonathan Grzymisch (ACC, 2023)

A Minimum-Propellant Pontryagin-Based Nonlinear MPC for Spacecraft Rendezvous in Lunar Orbit. - Giordana Bucchioni; Francesco Alfino; Michele Pagone; Carlo Novara (CDC, 2023)

A Pontryagin-Based Game-Theoretic Approach for Robust Nonlinear Model Predictive Control. - Michele Pagone; Lorenzo Zino; Carlo Novara (CDC, 2023)

Application of Reinforcement Learning for Intelligent Support Decision System: A Paradigm Towards Safety and Explainability. - Calogero Maiuri; Milad Karimshoushtari; Fabio Tango; Carlo Novara (HCI (40), 2023)

A Minimum-propellant Pontryagin-based Nonlinear MPC for Spacecraft Rendezvous in Lunar Orbit: the Extended Version. - Michele Pagone; Giordana Bucchioni; Francesco Alfino; Carlo Novara (CoRR, 2023)

One-shot backpropagation for multi-step prediction in physics-based system identification. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2023)

Nonlinear system identification in Sobolev spaces. - Carlo Novara; Angelo Nicolì; Giuseppe Carlo Calafiore (Int. J. Control, 2023)

Trajectory planning and control for autonomous vehicles: a "fast" data-aided NMPC approach. - Mattia Boggio; Carlo Novara; Michele Taragna (Eur. J. Control, 2023)

A blended physics-based and black-box identification approach for spacecraft inertia estimation. - Martina Mammarella; Cesare Donati; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CDC, 2024)

Scheduling of Satellite Constellation Operations in EO Missions Using Quantum Optimization. - Vinicius Marchioli; Mattia Boggio; Deborah Volpe; Luca Massotti; Carlo Novara (OL2A (2), 2024)

Noise Models in the LISA Mission. - Michele Pagone; Carlo Novara (CoRR, 2024)

A blended physics-based and black-box identification approach for spacecraft inertia estimation - EXTENDED VERSION. - Martina Mammarella; Cesare Donati; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2024)

On the Scientific Method: The Role of Hypotheses and Involved Mathematics. - Mario Milanese; Carlo Novara; Michele Taragna (CoRR, 2024)

First-order methods and automatic differentiation: A multi-step systems identification perspective. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2024)

Quantum optimization for Nonlinear Model Predictive Control. - Carlo Novara; Mattia Boggio; Deborah Volpe (CoRR, 2024)

Autonomous Lunar rendezvous trajectory planning and control using nonlinear MPC and Pontryagin's principle. - Michele Pagone; Giordana Bucchioni; Francesco Alfino; Carlo Novara (IFAC J. Syst. Control., 2024)

Drag-Free and Attitude Control System for the LISA Space Mission: An H∞ Constrained Decoupling Approach. - Simone Vidano; Michele Pagone; Jonathan Grzymisch; Valentin Preda; Carlo Novara (IEEE Trans. Control. Syst. Technol., 2024)

Combining off-white and sparse black models in multi-step physics-based systems identification. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino M. Lagoa (Autom., 2025)

Recovering nonlinear dynamics from non-uniform observations: A physics-based identification approach with practical case studies. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2025)

Continuous-time nonlinear model predictive control based on Pontryagin Minimum Principle and penalty functions. - Michele Pagone; Mattia Boggio; Carlo Novara; Anton V. Proskurnikov; Giuseppe Carlo Calafiore (Int. J. Control, 2025)