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Carlo Novara
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Journal Articles
- 2024
- [j42]Simone Vidano, Michele Pagone, Jonathan Grzymisch, Valentin Preda, Carlo Novara:
Drag-Free and Attitude Control System for the LISA Space Mission: An H∞ Constrained Decoupling Approach. IEEE Trans. Control. Syst. Technol. 32(6): 2149-2163 (2024) - 2023
- [j41]Mattia Boggio
, Carlo Novara
Trajectory planning and control for autonomous vehicles: a "fast" data-aided NMPC approach. Eur. J. Control 74: 100857 (2023) - [j40]Carlo Novara
Nonlinear system identification in Sobolev spaces. Int. J. Control 96(6): 1603-1618 (2023) - 2022
- [j39]Giuseppe Carlo Calafiore, Carlo Novara
Control analysis and design via randomised coordinate polynomial minimisation. Int. J. Control 95(1): 158-172 (2022) - [j38]Mattia Boggio
Earth Gravity In-Orbit Sensing: MPC Formation Control Based on a Novel Constellation Model. Remote. Sens. 14(12): 2815 (2022) - 2021
- [j37]Milad Karimshoushtari, Carlo Novara
How Imitation Learning and Human Factors Can Be Combined in a Model Predictive Control Algorithm for Adaptive Motion Planning and Control. Sensors 21(12): 4012 (2021) - 2020
- [j36]Giuseppe Carlo Calafiore, Carlo Novara
A time-varying SIRD model for the COVID-19 contagion in Italy. Annu. Rev. Control. 50: 361-372 (2020) - [j35]Milad Karimshoushtari, Carlo Novara
Design of experiments for nonlinear system identification: A set membership approach. Autom. 119: 109036 (2020) - [j34]Corrado Possieri
A Finite-Time Local Observer in the Original Coordinates for Nonlinear Control Systems. IEEE Trans. Autom. Control. 65(11): 4808-4815 (2020) - [j33]Ali Ahmed Al-Matouq
Sparse Reconstruction of Glucose Fluxes Using Continuous Glucose Monitors. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1797-1809 (2020) - [j32]Carlo Novara
Data-Driven Disturbance Estimation and Control With Application to Blood Glucose Regulation. IEEE Trans. Control. Syst. Technol. 28(1): 48-62 (2020) - [j31]Mauricio Alejandro Lotufo, Luigi Colangelo
Control Design for UAV Quadrotors via Embedded Model Control. IEEE Trans. Control. Syst. Technol. 28(5): 1741-1756 (2020) - 2019
- [j30]Carlo Novara
Control of MIMO nonlinear systems: A data-driven model inversion approach. Autom. 101: 417-430 (2019) - [j29]Gul Rukh Khan, Carlo Novara
A novel algorithm for integrated control model using swarm robots for intruder detection and rescue schedules. Telecommun. Syst. 72(2): 273-284 (2019) - 2018
- [j28]Carlo Novara
Data-Driven Inversion-Based Control of Nonlinear Systems With Guaranteed Closed-Loop Stability. IEEE Trans. Autom. Control. 63(4): 1147-1154 (2018) - 2017
- [j27]Marko Tanaskovic, Lorenzo Fagiano
Data-driven control of nonlinear systems: An on-line direct approach. Autom. 75: 1-10 (2017) - [j26]Giuseppe Carlo Calafiore
Leading impulse response identification via the Elastic Net criterion. Autom. 80: 75-87 (2017) - 2016
- [j25]Carlo Novara
Data-driven design of two degree-of-freedom nonlinear controllers: The -IBC approach. Autom. 72: 19-27 (2016) - [j24]Lorenzo Fagiano
Learning a Nonlinear Controller From Data: Theory, Computation, and Experimental Results. IEEE Trans. Autom. Control. 61(7): 1854-1868 (2016) - [j23]Carlo Novara
A Nonlinear Blind Identification Approach to Modeling of Diabetic Patients. IEEE Trans. Control. Syst. Technol. 24(3): 1092-1100 (2016) - 2015
- [j22]Giuseppe Carlo Calafiore
Sparse identification of posynomial models. Autom. 59: 27-34 (2015) - [j21]Carlo Novara
Direct Design of Discrete-Time LPV Feedback Controllers. IEEE Trans. Autom. Control. 60(10): 2819-2824 (2015) - 2014
- [j20]Massimo Canale, Lorenzo Fagiano
A DVS-MHE Approach to Vehicle Side-Slip Angle Estimation. IEEE Trans. Control. Syst. Technol. 22(5): 2048-2055 (2014) - 2013
- [j19]Lorenzo Fagiano
A combined Moving Horizon and Direct Virtual Sensor approach for constrained nonlinear estimation. Autom. 49(1): 193-199 (2013) - [j18]Carlo Novara
Direct feedback control design for nonlinear systems. Autom. 49(4): 849-860 (2013) - [j17]Tyrone L. Vincent, Carlo Novara
Mixed parametric/non-parametric identification of systems with discontinuous nonlinearities. Autom. 49(12): 3661-3669 (2013) - [j16]Carlo Novara
Direct Filtering: A New Approach to Optimal Filter Design for Nonlinear Systems. IEEE Trans. Autom. Control. 58(1): 86-99 (2013) - 2012
- [j15]Carlo Novara
Sparse Identification of Nonlinear Functions and Parametric Set Membership Optimality Analysis. IEEE Trans. Autom. Control. 57(12): 3236-3241 (2012) - 2011
- [j14]Carlo Novara
Parametric identification of structured nonlinear systems. Autom. 47(4): 711-721 (2011) - [j13]Mario Milanese, Carlo Novara
Unified Set Membership theory for identification, prediction and filtering of nonlinear systems. Autom. 47(10): 2141-2151 (2011) - [j12]Carlo Novara
Direct Identification of Optimal SM-LPV Filters and Application to Vehicle Yaw Rate Estimation. IEEE Trans. Control. Syst. Technol. 19(1): 5-17 (2011) - 2010
- [j11]Tyrone L. Vincent, Carlo Novara
Input design for structured nonlinear system identification. Autom. 46(6): 990-998 (2010) - [j10]Fredy Ruiz
Direct design from data of optimal filters for LPV systems. Syst. Control. Lett. 59(1): 1-8 (2010) - [j9]Massimo Canale, Carlo Novara
NSM constrained approximation of Lipschitz functions from data. Syst. Control. Lett. 59(7): 396-403 (2010) - 2009
- [j8]Mario Milanese, Carlo Novara
The filter design from data (FD2) problem: Nonlinear Set Membership approach. Autom. 45(10): 2350-2357 (2009) - 2007
- [j7]Mario Milanese, Carlo Novara
Computation of local radius of information in SM-IBC identification of nonlinear systems. J. Complex. 23(4-6): 937-951 (2007) - 2006
- [j6]Kenneth Hsu, Carlo Novara
Parametric and nonparametric curve fitting. Autom. 42(11): 1869-1873 (2006) - [j5]Massimo Canale, Mario Milanese, Carlo Novara
Semi-Active Suspension Control Using "Fast" Model-Predictive Techniques. IEEE Trans. Control. Syst. Technol. 14(6): 1034-1046 (2006) - 2005
- [j4]Mario Milanese, Carlo Novara
Model quality in identification of nonlinear systems. IEEE Trans. Autom. Control. 50(10): 1606-1611 (2005) - [j3]Mario Milanese, Carlo Novara
Set membership prediction of nonlinear time series. IEEE Trans. Autom. Control. 50(11): 1655-1669 (2005) - 2004
- [j2]Mario Milanese, Carlo Novara
Set Membership identification of nonlinear systems. Autom. 40(6): 957-975 (2004) - [j1]Mario Milanese, Carlo Novara
Nonlinear Set Membership prediction of river flow. Syst. Control. Lett. 53(1): 31-39 (2004)
Conference and Workshop Papers
- 2023
- [c56]Dario Ruggiero
Design of Super-Twisting Sliding Mode Observer for LISA Mission Micro-Meteoroid Impact. ACC 2023: 4814-4819 - [c55]Michele Pagone, Lorenzo Zino
A Pontryagin-Based Game-Theoretic Approach for Robust Nonlinear Model Predictive Control. CDC 2023: 5532-5537 - [c54]Giordana Bucchioni, Francesco Alfino, Michele Pagone, Carlo Novara
A Minimum-Propellant Pontryagin-Based Nonlinear MPC for Spacecraft Rendezvous in Lunar Orbit. CDC 2023: 8745-8750 - [c53]Calogero Maiuri, Milad Karimshoushtari, Fabio Tango, Carlo Novara:
Application of Reinforcement Learning for Intelligent Support Decision System: A Paradigm Towards Safety and Explainability. HCI (40) 2023: 243-261 - 2022
- [c52]Michele Pagone
A penalty function approach to constrained Pontryagin-based Nonlinear Model Predictive Control. CDC 2022: 3705-3710 - 2021
- [c51]Norbert Druml, Anna Ryabokon
Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3. DSD 2021: 268-277 - [c50]Andrea Castellano
A Supervisor Αgent-Based on the Markovian Decision Process Framework to Optimize the Behavior of a Highly Automated System. HCI (15) 2021: 351-368 - 2020
- [c49]Ali Al-Matouq
Subspace Identification of a Glucose-Insulin model Using Meal Tracer Protocol Measurements. ACC 2020: 1329-1334 - [c48]Giuseppe Carlo Calafiore, Carlo Novara
A Modified SIR Model for the COVID-19 Contagion in Italy. CDC 2020: 3889-3894 - 2019
- [c47]Giuseppe Carlo Calafiore, Carlo Novara
Random Coordinate Minimization Method with Eventual Transverse Directions for Constrained Polynomial Optimization. CDC 2019: 541-546 - [c46]Carlos Perez-Montenegro, Luigi Colangelo, Jose Pardo, Alessandro Rizzo, Carlo Novara
Asynchronous Multi-rate Sampled-data Control: an Embedded Model Control Perspective. CDC 2019: 2628-2633 - 2018
- [c45]Carlo Novara
Data-driven polynomial MPC and application to blood glucose regulation in a diabetic patient. ECC 2018: 1722-1727 - 2017
- [c44]Milad Karimshoushtari, Carlo Novara
Lean NOx trap regeneration control: A data-driven MPC approach. CDC 2017: 226-231 - [c43]Giuseppe Carlo Calafiore
A flow optimization approach for the rebalancing of mobility on demand systems. CDC 2017: 5684-5689 - [c42]Giuseppe Carlo Calafiore
Control of MIMO nonlinear systems via approximate model inversion. CDC 2017: 6726-6731 - [c41]Masoud Hemmatpour
Polynomial classification model for real-time fall prediction system. COMPSAC (1) 2017: 973-978 - [c40]Giuseppe Carlo Calafiore
APSEplus: a MATLAB toolbox for parametric energy simulation of reference buildings. ICSCA 2017: 267-271 - 2016
- [c39]Congzhi Huang, Enrico S. Canuto, Carlo Novara
The four-tank benchmark: A simple solution by Embedded Model Control. ACC 2016: 1554-1559 - [c38]Giuseppe Carlo Calafiore
Leading impulse response identification via the weighted elastic net criterion. CDC 2016: 2926-2931 - [c37]Carlo Novara
A data-driven model inversion approach to cancer immunotherapy control. CDC 2016: 5047-5052 - [c36]Mauricio A. Lotufo, Carlos Perez-Montegro, Luigi Colangelo, Enrico S. Canuto, Carlo Novara
Identification and control of a quadrotor from experimental data. MED 2016: 895-900 - [c35]Carlos Perez-Montenegro, Carlo Novara
Feasibility analysis of sustainable methods through manufacturing algebra and Monte-Carlo simulations. MED 2016: 1278-1283 - [c34]Clement U. Mba
Optimal Strategies for Adaptive Cruise Control. SMARTGREENS/VEHITS (Selected Papers) 2016: 227-241 - [c33]Clement U. Mba
Evaluation and Optimization of Adaptive Cruise Control Policies Via Numerical Simulations. VEHITS 2016: 13-19 - 2015
- [c32]Carlo Novara
A data-driven approach to nonlinear braking control. CDC 2015: 1453-1458 - 2014
- [c31]Lorenzo Fagiano
Learning a nonlinear controller from data: Theory and computation. CDC 2014: 4148-4153 - 2013
- [c30]Tyrone L. Vincent, Carlo Novara:
Mixed parametric/non-parametric identification of systems with discontinuous nonlinearities. ACC 2013: 881-886 - [c29]Carlo Novara
A sparse Set Membership approach to interval estimation of nonlinear functions and application to fault detection. CDC 2013: 478-483 - [c28]Carlo Novara
Direct design from data of LPV feedback controllers. CDC 2013: 4098-4103 - 2012
- [c27]Carlo Novara
DFK control design for nonlinear systems. CDC 2012: 2140-2145 - [c26]Carlo Novara
Robustly optimal filter design for nonlinear systems. CDC 2012: 6761-6766 - 2011
- [c25]Carlo Novara
Direct data-driven inverse control of a power kite for high altitude wind energy conversion. CCA 2011: 240-245 - [c24]Carlo Novara:
Sparse identification of nonlinear functions and parametric Set Membership optimality analysis. ACC 2011: 663-668 - [c23]Lorenzo Fagiano
On the guaranteed accuracy of Polynomial Chaos Expansions. CDC/ECC 2011: 728-733 - [c22]Lorenzo Fagiano
Improvement of Moving Horizon Estimators via Direct Virtual Sensor techniques. CDC/ECC 2011: 3313-3318 - [c21]Carlo Novara
Sparse Set Membership identification of nonlinear functions and application to control of power kites for wind energy conversion. CDC/ECC 2011: 3640-3645 - 2010
- [c20]Massimo Canale, Lorenzo Fagiano
Vehicle Side-slip Angle Estimation using a Direct MH Estimator. CCA 2010: 167-172 - [c19]Massimo Canale, Lorenzo Fagiano
A direct Moving Horizon approach to vehicle side-slip angle estimation. CDC 2010: 2898-2903 - 2009
- [c18]Massimo Canale, Carlo Novara
A Nonlinear IMC approach using model inversion from data. CDC 2009: 1950-1955 - [c17]Carlo Novara
A new approach to optimal filter design for nonlinear systems. CDC 2009: 5484-5489 - [c16]Massimo Canale, Lorenzo Fagiano, Mario Milanese, Carlo Novara:
Set membership approximations of Predictive Control laws: The tradeoff between accuracy and complexity. ECC 2009: 2426-2431 - [c15]Massimo Canale, Carlo Novara, Maria Carmela Signorile:
A nonlinear IMC approach to vehicle yaw control. ECC 2009: 3640-3645 - [c14]Andrea Vesco
Distortion Prediction for Video Quality Optimization over Packet Switched Networks. GLOBECOM 2009: 1-6 - 2008
- [c13]Carlo Novara
Left-inversion of nonlinear fading memory systems from data. CDC 2008: 1392-1397 - [c12]Carlo Novara
Direct identification of optimal filters for LPV systems. CDC 2008: 4503-4508 - 2007
- [c11]Carlo Novara
Experiment design in Nonlinear Set Membership identification. ACC 2007: 1566-1571 - [c10]Massimo Canale, Carlo Novara
NSM constrained approximation with application to fast predictive control. CDC 2007: 5722-5728 - 2006
- [c9]Mario Milanese, Carlo Novara, Kenneth Hsu, Kameshwar Poolla:
Filter design from data: direct vs. two-step approaches. ACC 2006: 1-5 - 2005
- [c8]Massimo Canale, Mario Milanese, Carlo Novara, Zuheir Ahmad:
Semi-active suspension control using "fast" model predictive control. ACC 2005: 274-281vol.1 - [c7]Kenneth Hsu, Tyrone Vincent, Carlo Novara
Identification of Nonlinear Maps in Interconnected Systems. CDC/ECC 2005: 6430-6435 - 2003
- [c6]Mario Milanese, Carlo Novara
Structured experimental modeling of complex nonlinear systems. CDC 2003: 5538-5543 - [c5]Mario Milanese, Carlo Novara
Model quality in nonlinear SM identification. CDC 2003: 6021-6026 - 2002
- [c4]Mario Milanese, Carlo Novara:
Nonlinear set membership prediction of river flow. CDC 2002: 931-936 - 2001
- [c3]Carlo Novara, Mario Milanese:
Set membership prediction of nonlinear time series. CDC 2001: 2131-2136 - [c2]Mario Milanese, Carlo Novara, Michele Taragna:
"Fast" set membership H∞ identification from frequency-domain data. ECC 2001: 1698-1703 - 2000
- [c1]Carlo Novara
Set membership identification of nonlinear systems. CDC 2000: 2831-2836
Informal and Other Publications
- 2024
- [i20]Michele Pagone, Carlo Novara:
Noise Models in the LISA Mission. CoRR abs/2405.02339 (2024) - [i19]Martina Mammarella, Cesare Donati, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa:
A blended physics-based and black-box identification approach for spacecraft inertia estimation - EXTENDED VERSION. CoRR abs/2405.18186 (2024) - [i18]Mario Milanese, Carlo Novara, Michele Taragna:
On the Scientific Method: The Role of Hypotheses and Involved Mathematics. CoRR abs/2407.06225 (2024) - [i17]Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa:
First-order methods and automatic differentiation: A multi-step systems identification perspective. CoRR abs/2410.03544 (2024) - 2023
- [i16]Michele Pagone, Giordana Bucchioni, Francesco Alfino, Carlo Novara:
A Minimum-propellant Pontryagin-based Nonlinear MPC for Spacecraft Rendezvous in Lunar Orbit: the Extended Version. CoRR abs/2309.05453 (2023) - [i15]Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa:
One-shot backpropagation for multi-step prediction in physics-based system identification. CoRR abs/2310.20567 (2023) - 2022
- [i14]Michele Pagone, Mattia Boggio, Carlo Novara, Anton V. Proskurnikov, Giuseppe Carlo Calafiore:
A barrier function approach to constrained Pontryagin-based Nonlinear Model Predictive Control. CoRR abs/2203.16377 (2022) - [i13]Luca Nanu
Embedded Model Control of Networked Control Systems: an Experimental Case-study - Stability analysis and further results. CoRR abs/2211.08080 (2022) - 2020
- [i12]Giuseppe Carlo Calafiore, Carlo Novara, Corrado Possieri:
A Modified SIR Model for the COVID-19 Contagion in Italy. CoRR abs/2003.14391 (2020) - 2019
- [i11]Mauricio Alejandro Lotufo, Luigi Colangelo, Carlo Novara:
Feedback Linearization for Quadrotors UAV. CoRR abs/1906.04263 (2019) - [i10]Carlo Novara, Angelo Nicolì, Giuseppe Carlo Calafiore:
Nonlinear system identification in Sobolev spaces. CoRR abs/1911.02930 (2019) - 2018
- [i9]Carlo Novara, Simone Formentin:
Data-Driven Inversion-Based Control: closed-loop stability analysis for MIMO systems. CoRR abs/1801.08993 (2018) - 2016
- [i8]Giuseppe Carlo Calafiore, Carlo Novara, Michele Taragna:
Leading Impulse Response Identification via the Weighted Elastic Net Criterion. CoRR abs/1609.07029 (2016) - 2015
- [i7]Marko Tanaskovic, Lorenzo Fagiano, Carlo Novara, Manfred Morari:
On-line direct data driven controller design approach with automatic update for some of the tuning parameters. CoRR abs/1506.05267 (2015) - [i6]Carlo Novara:
Polynomial model inversion control: numerical tests and applications. CoRR abs/1509.01421 (2015) - 2014
- [i5]Carlo Novara:
Direct design of LPV feedback controllers: technical details, proofs and a numerical example. CoRR abs/1403.7970 (2014) - [i4]Carlo Novara, Mario Milanese:
Control of nonlinear systems: a model inversion approach. CoRR abs/1407.1069 (2014) - [i3]Carlo Novara, Simone Formentin:
Data-driven controller design for nonlinear systems: a two degrees of freedom architecture. CoRR abs/1407.2068 (2014) - 2013
- [i2]Lorenzo Fagiano, Carlo Novara:
Identification of nonlinear controllers from data: theory and computation. CoRR abs/1309.1574 (2013) - [i1]Giuseppe Carlo Calafiore, Laurent El Ghaoui, Carlo Novara:
Sparse Identification of Polynomial and Posynomial Models. CoRR abs/1311.4362 (2013)
Coauthor Index
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last updated on 2024-11-13 23:47 CET by the dblp team
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