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2020 – today
- 2024
- [j48]Giorgio Riva, Simone Formentin:
Toward eXplainabile Data-Driven Control (XDDC): The Property-Preserving Framework. IEEE Control. Syst. Lett. 8: 478-483 (2024) - [j47]Federico Dettù, Giacomo Delcaro, Simone Formentin, Stefano Varisco, Sergio Matteo Savaresi:
Optimization tools for Twin-in-the-Loop vehicle control design: analysis and yaw-rate tracking case study. Eur. J. Control 77: 100998 (2024) - [j46]Giorgio Riva, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Twin-in-the-loop state estimation for vehicle dynamics control: Theory and experiments. IFAC J. Syst. Control. 29: 100274 (2024) - [c85]Guitao Yang, Matteo Scandella, Simone Formentin, Thomas Parisini:
Automated Data-Driven Tuning of Learning-Based Model Predictive Control (SelfMPC): A Maximum-Likelihood Approach. ECC 2024: 104-109 - [c84]Federico Dettù, Braghadeesh Lakshminarayanan, Simone Formentin, Cristian R. Rojas:
From Data to Control: A Two-Stage Simulation-Based Approach. ECC 2024: 3428-3433 - [i35]Giacomo Delcaro, Federico Dettù, Simone Formentin, Sergio Matteo Savaresi:
Automatic dimensionality reduction of Twin-in-the-Loop Observers. CoRR abs/2401.10945 (2024) - [i34]Jessica Leoni, Valentina Breschi, Simone Formentin, Mara Tanelli:
Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models. CoRR abs/2401.17118 (2024) - [i33]Raffaele Giuseppe Cestari, Stefano Longari, Stefano Zanero, Simone Formentin:
Model Predictive Control with adaptive resilience for Denial-of-Service Attacks mitigation on a Regulated Dam. CoRR abs/2402.18516 (2024) - [i32]Raffaele Giuseppe Cestari, Simone Formentin:
Sentiment-driven prediction of financial returns: a Bayesian-enhanced FinBERT approach. CoRR abs/2403.04427 (2024) - [i31]Riccardo Busetto, Valentina Breschi, Federica Baracchi, Simone Formentin:
Meta-learning of data-driven controllers with automatic model reference tuning: theory and experimental case study. CoRR abs/2403.14500 (2024) - 2023
- [j45]Valentina Breschi, Alessandro Chiuso, Simone Formentin:
Data-driven predictive control in a stochastic setting: a unified framework. Autom. 152: 110961 (2023) - [j44]Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad:
Auto-tuning of reference models in direct data-driven control. Autom. 155: 111110 (2023) - [j43]Valentina Breschi, Andrea Sassella, Simone Formentin:
Data-Driven Design of Explicit Predictive Controllers With Structural Priors. IEEE Control. Syst. Lett. 7: 1616-1621 (2023) - [j42]Valentina Breschi, Luca Zaccarian, Simone Formentin:
Data-Driven Stabilization of Input-Saturated Systems. IEEE Control. Syst. Lett. 7: 1640-1645 (2023) - [j41]T. O. de Jong, Valentina Breschi, Maarten Schoukens, Simone Formentin:
Data-Driven Model-Reference Control With Closed-Loop Stability: The Output-Feedback Case. IEEE Control. Syst. Lett. 7: 2431-2436 (2023) - [j40]Francesco Abbracciavento, Francesco Zinnari, Simone Formentin, Andrea G. Bianchessi, Sergio M. Savaresi:
Multi-intersection traffic signal control: A decentralized MPC-based approach. IFAC J. Syst. Control. 23: 100214 (2023) - [j39]Valentina Breschi, Andrea Sassella, Simone Formentin:
On the Design of Regularized Explicit Predictive Controllers From Input-Output Data. IEEE Trans. Autom. Control. 68(8): 4977-4983 (2023) - [j38]Edoardo Catenaro, A. Dubbini, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Active Preference Learning for Vehicle Suspensions Calibration. IEEE Trans. Control. Syst. Technol. 31(6): 2961-2967 (2023) - [c83]Andrea Sassella, Francesco Abbracciavento, Simone Formentin, Andrea G. Bianchessi, Sergio M. Savaresi:
On queue length estimation in urban traffic intersections via inductive loops. ACC 2023: 1135-1140 - [c82]Francesco Abbracciavento, Edoardo Catenaro, Andrea Ticozzi, Simone Formentin:
Cross-Coupled SLS for pairs trading: an adaptive control approach. CCTA 2023: 632-637 - [c81]Riccardo Busetto, Valentina Breschi, Simone Formentin:
META-SMGO-$\Delta$: Similarity as a Prior in Black-Box Optimization. CDC 2023: 1294-1299 - [c80]Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin:
On the Impact of Regularization in Data-Driven Predictive Control. CDC 2023: 3061-3066 - [i30]Le Anh Dao, Loris Roveda, Marco Maccarini, Matteo Lavit Nicora, Marta Mondellini, Matteo Meregalli Falerni, Palaniappan Veerappan, Lorenzo Mantovani, Dario Piga, Simone Formentin, Matteo Malosio:
Experience in Engineering Complex Systems: Active Preference Learning with Multiple Outcomes and Certainty Levels. CoRR abs/2302.14630 (2023) - [i29]Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin:
On the impact of regularization in data-driven predictive control. CoRR abs/2304.00263 (2023) - [i28]Riccardo Busetto, Valentina Breschi, Simone Formentin:
META-SMGO-Δ: similarity as a prior in black-box optimization. CoRR abs/2305.00438 (2023) - [i27]Valentina Breschi, Simone Formentin, Alberto Leva:
Model predictive control with dynamic move blocking. CoRR abs/2308.07854 (2023) - [i26]Riccardo Busetto, Valentina Breschi, Simone Formentin:
Meta-learning for model-reference data-driven control. CoRR abs/2308.15458 (2023) - [i25]Raffaele Giuseppe Cestari, Andrea Castelletti, Simone Formentin:
Scenario-based model predictive control of water reservoir systems. CoRR abs/2309.00373 (2023) - [i24]Federico Dettù, Simone Formentin, Sergio Matteo Savaresi:
Joint vehicle state and parameters estimation via Twin-in-the-Loop observers. CoRR abs/2309.01461 (2023) - [i23]Federico Dettù, Simone Formentin, Stefano Varisco, Sergio Matteo Savaresi:
Optimization tools for Twin-in-the-Loop vehicle control design: analysis and yaw-rate tracking case study. CoRR abs/2309.02080 (2023) - [i22]Raffaele Giuseppe Cestari, Gabriele Maroni, Loris Cannelli, Dario Piga, Simone Formentin:
Split-Boost Neural Networks. CoRR abs/2309.03167 (2023) - [i21]Braghadeesh Lakshminarayanan, Federico Dettù, Cristian R. Rojas, Simone Formentin:
Unraveling the Control Engineer's Craft with Neural Networks. CoRR abs/2311.11644 (2023) - [i20]Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin:
In-context learning of state estimators. CoRR abs/2312.04509 (2023) - [i19]Alessandro Chiuso, Marco Fabris, Valentina Breschi, Simone Formentin:
Harnessing the Final Control Error for Optimal Data-Driven Predictive Control. CoRR abs/2312.14788 (2023) - [i18]Raffaele Giuseppe Cestari, Filippo Barchi, Riccardo Busetto, Daniele Marazzina, Simone Formentin:
Hawkes-based cryptocurrency forecasting via Limit Order Book data. CoRR abs/2312.16190 (2023) - 2022
- [j37]Mirko Mazzoleni, Alessandro Chiuso, Matteo Scandella, Simone Formentin, Fabio Previdi:
Kernel-based system identification with manifold regularization: A Bayesian perspective. Autom. 142: 110419 (2022) - [j36]Giorgio Riva, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Model Predictive Control of High-Performance Braking Systems: A Force-Based Approach. IEEE Control. Syst. Lett. 6: 2383-2388 (2022) - [j35]Mirko Mazzoleni, Gabriele Maroni, Simone Formentin, Fabio Previdi:
A kernel-based control approach for multi-period assets allocation based on lower partial moments. Eng. Appl. Artif. Intell. 110: 104659 (2022) - [j34]Pauline Kergus, Simone Formentin, Matteo Giuliani, Andrea Castelletti:
Learning-based hierarchical control of water reservoir systems. IFAC J. Syst. Control. 19: 100185 (2022) - [j33]Dario Savaresi, Federico Dettù, Simone Formentin, Sergio Matteo Savaresi:
On optimal gear shifting in city bicycles. IFAC J. Syst. Control. 22: 100211 (2022) - [j32]Francesco Abbracciavento, Simone Formentin, Sergio Matteo Savaresi:
Data-driven stock trading in financial markets: an adaptive control approach. Int. J. Control 95(4): 1032-1041 (2022) - [j31]Matteo Scandella, Mirko Mazzoleni, Simone Formentin, Fabio Previdi:
Kernel-based identification of asymptotically stable continuous-time linear dynamical systems. Int. J. Control 95(6): 1668-1681 (2022) - [j30]Max van Meer, Valentina Breschi, Tom Oomen, Simone Formentin:
Direct data-driven design of LPV controllers with soft performance specifications. J. Frankl. Inst. 359(2): 816-836 (2022) - [c79]Giorgio Riva, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Experimental assessment of neural networks for tire-road force estimation. CCTA 2022: 658-663 - [c78]Andrea Sassella, Valentina Breschi, Simone Formentin:
Data-driven design of explicit predictive controllers. CDC 2022: 2821-2826 - [c77]Federico Dettù, Francesco Abbracciavento, Simone Formentin:
Kelly-based stock trading via feedback control. CDC 2022: 5574-5579 - [c76]Edoardo Catenaro, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Auto-calibration with Stability Margins for Active Damping Control in Electric Drivelines. ECC 2022: 1186-1191 - [c75]Riccardo Busetto, Thomas Nakken Larsen, Adil Rasheed, Damiano Varagnolo, Simone Formentin:
A receding-horizon estimation and control framework for the content sequencing problem. ECC 2022: 1908-1915 - [c74]Alberto Leva, Simone Formentin, Silvano Seva:
Overlapping-Horizon MPC: A Novel Approach to Computational Constraints in Real-Time Predictive Control. NG-RES@HiPEAC 2022: 3:1-3:10 - [c73]Andrea Sassella, Valentina Breschi, Simone Formentin:
Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode Decomposition. L4DC 2022: 74-85 - [i17]Valentina Breschi, Alessandro Chiuso, Simone Formentin:
The role of regularization in data-driven predictive control. CoRR abs/2203.10846 (2022) - [i16]Giorgio Riva, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Simulator-in-the-loop state estimation for vehicle dynamics control: theory and experiments. CoRR abs/2204.06259 (2022) - [i15]Valentina Breschi, Andrea Sassella, Simone Formentin:
Data-driven design of explicit predictive controllers using model-based priors. CoRR abs/2207.01148 (2022) - [i14]Federico Dettù, Simone Formentin, Sergio Matteo Savaresi:
The Simulator-in-the-Loop approach for vehicle dynamics control. CoRR abs/2209.02263 (2022) - [i13]Raffaele G. Cestari, Andrea Castelletti, Simone Formentin:
Hourly operation of a regulated lake via Model Predictive Control. CoRR abs/2209.07435 (2022) - [i12]Valentina Breschi, Marco Fabris, Simone Formentin, Alessandro Chiuso:
Uncertainty-aware data-driven predictive control in a stochastic setting. CoRR abs/2211.10321 (2022) - 2021
- [j29]Simone Formentin, Alessandro Chiuso:
Control-oriented regularization for linear system identification. Autom. 127: 109539 (2021) - [j28]Gianluca Savaia, Simone Formentin, Giulio Panzani, Matteo Corno, Sergio M. Savaresi:
Enhancing skyhook for semi-active suspension control via machine learning. IFAC J. Syst. Control. 17: 100161 (2021) - [j27]Matteo Scandella, Mirko Mazzoleni, Simone Formentin, Fabio Previdi:
A Note on the Numerical Solutions of Kernel-Based Learning Problems. IEEE Trans. Autom. Control. 66(2): 940-947 (2021) - [c72]Giorgio Riva, Fredy Ruiz, Simone Formentin, Sergio M. Savaresi:
Model-reference design of fixed-order controllers for Brake-By-Wire actuators. ACC 2021: 130-135 - [c71]Dario Savaresi, Simone Formentin, Sergio Matteo Savaresi:
Data-driven Mass Estimation in Continuously Variable Transmission Agricultural Tractors. ACC 2021: 1529-1534 - [c70]Dario Savaresi, Michele Chini, Simone Formentin, Masahide Konishi, Sergio Matteo Savaresi:
On Damping Ratio Estimation in Electronic Semi-active Suspensions. ACC 2021: 1589-1594 - [c69]Andrea Sassella, Valentina Breschi, Simone Formentin:
Direct data-driven design of switching controllers for constrained systems. ACC 2021: 2355-2360 - [c68]Alberto Lucchini, Federica Paganelli Azza, Matteo Corno, Simone Formentin, Sergio M. Savaresi:
Design and Implementation of a MPC-based Rear-Wheel Steering Controller for Sports Cars. CCTA 2021: 802-807 - [c67]Giorgio Riva, Simone Formentin, Sergio M. Savaresi:
Force estimation in electro-mechanical systems: theory and experiments. CCTA 2021: 992-997 - [c66]Valentina Breschi, Claudio De Persis, Simone Formentin, Pietro Tesi:
Direct data-driven model-reference control with Lyapunov stability guarantees. CDC 2021: 1456-1461 - [c65]Francesco Abbracciavento, Francesco Zinnari, Simone Formentin, Andrea G. Bianchessi, Sergio M. Savaresi:
Real-time optimal traffic management in signal-controlled intersections: a receding-horizon approach. CDC 2021: 1947-1952 - [c64]Andrea Sassella, Valentina Breschi, Simone Formentin:
Data-driven design of switching reference governors for brake-by-wire applications. L4DC 2021: 99-110 - [i11]Valentina Breschi, Claudio De Persis, Simone Formentin, Pietro Tesi:
Direct data-driven model-reference control with Lyapunov stability guarantees. CoRR abs/2103.12663 (2021) - [i10]Andrea Sassella, Valentina Breschi, Simone Formentin:
Learning explicit predictive controllers: theory and applications. CoRR abs/2108.08412 (2021) - [i9]Valentina Breschi, Andrea Sassella, Simone Formentin:
On the design of regularized explicit predictive controllers from input-output data. CoRR abs/2110.11808 (2021) - 2020
- [j26]Valentina Breschi, Simone Formentin, Gianmarco Rallo, Matteo Corno, Sergio M. Savaresi:
Vehicle sideslip estimation via kernel-based LPV identification: Theory and experiments. Autom. 122: 109237 (2020) - [j25]Simone Mariano, Franco Blanchini, Simone Formentin, Luca Zaccarian:
Asymmetric State Feedback for Linear Plants With Asymmetric Input Saturation. IEEE Control. Syst. Lett. 4(3): 608-613 (2020) - [j24]Alberto Lucchini, Simone Formentin, Matteo Corno, Dario Piga, Sergio M. Savaresi:
Torque Vectoring for High-Performance Electric Vehicles: An Efficient MPC Calibration. IEEE Control. Syst. Lett. 4(3): 725-730 (2020) - [j23]Simone Gelmini, Simone Formentin, Silvia Carla Strada, Mara Tanelli, Sergio M. Savaresi:
fierClass: A multi-signal, cepstrum-based, time series classifier. Eng. Appl. Artif. Intell. 87 (2020) - [j22]Gabriele Pozzato, Simone Formentin, Giulio Panzani, Sergio M. Savaresi:
Least costly energy management for extended-range electric vehicles: An economic optimization framework. Eur. J. Control 56: 218-230 (2020) - [j21]Matteo Parigi Polverini, Simone Formentin, Luca Merzagora, Paolo Rocco:
Mixed Data-Driven and Model-Based Robot Implicit Force Control: A Hierarchical Approach. IEEE Trans. Control. Syst. Technol. 28(4): 1258-1271 (2020) - [c63]Dario Savaresi, Federico Dettù, Simone Formentin, Sergio Matteo Savaresi:
On the Drivability of DC Brushless Motors with Faulty Hall Sensors during Braking Maneuvers. CCTA 2020: 219-224 - [c62]Dario Savaresi, Federico Dettù, Simone Formentin, Sergio Matteo Savaresi:
Comfort-Oriented Gear Shifting in City Bicycles. CCTA 2020: 436-441 - [c61]Stefano Radrizzani, Davide Todeschini, Giorgio Riva, Simone Formentin, Giulio Panzani, Sergio M. Savaresi:
A data-driven approach for fast controller calibration of Brake-by-Wire actuators. CCTA 2020: 561-566 - [c60]Gabriele Pozzato, Simone Formentin, Sergio M. Savaresi:
Explicit Online Least Costly Energy Management for Hybrid Electric Vehicles. CCTA 2020: 706-711 - [c59]Alessandro Chiuso, Simone Formentin, Francesco Zanini:
Non-iterative control-oriented regularization for linear system identification. CDC 2020: 2252-2257 - [c58]Valentina Breschi, Daniele Masti, Simone Formentin, Alberto Bemporad:
NAW-NET: neural anti-windup control for saturated nonlinear systems. CDC 2020: 3335-3340 - [c57]Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad:
Direct data-driven design of neural reference governors. CDC 2020: 4955-4960 - [c56]Mirko Mazzoleni, Matteo Scandella, Simone Formentin, Fabio Previdi:
Enhanced kernels for nonparametric identification of a class of nonlinear systems. ECC 2020: 540-545 - [c55]Federico Bianchi, Simone Formentin, Luigi Piroddi:
Structure selection of noise covariance matrices for linear Kalman filter design. ECC 2020: 552-557 - [c54]Francesco Zinnari, Silvia Carla Strada, Mara Tanelli, Simone Formentin, Gianluca Savaia, Sergio M. Savaresi:
Mining the electrification potential of fuel-based vehicles mobility patterns: a data-based approach. ICHMS 2020: 1-6 - [c53]Valentina Breschi, Simone Formentin:
Virtual Reference Feedback Tuning with data-driven reference model selection. L4DC 2020: 37-45 - [c52]Valentina Breschi, Simone Formentin:
Direct Data-Driven Control with Embedded Anti-Windup Compensation. L4DC 2020: 46-54 - [c51]Mirko Mazzoleni, Matteo Scandella, Simone Formentin, Fabio Previdi:
Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach. L4DC 2020: 267-276 - [i8]Gianluca Savaia, Youngil Sohn, Simone Formentin, Giulio Panzani, Matteo Corno, Sergio M. Savaresi:
Experimental Automatic Calibration of a Semi-Active Suspension Controller via Bayesian Optimization. CoRR abs/2010.10831 (2020) - [i7]Pauline Kergus, Simone Formentin, Matteo Giuliani, Andrea Castelletti:
Real-time control of water reservoir operations: a learning-based hierarchical approach. CoRR abs/2012.13224 (2020)
2010 – 2019
- 2019
- [j20]Dario Piga, Marco Forgione, Simone Formentin, Alberto Bemporad:
Performance-Oriented Model Learning for Data-Driven MPC Design. IEEE Control. Syst. Lett. 3(3): 577-582 (2019) - [j19]Simone Formentin, Marco C. Campi, Algo Carè, Sergio M. Savaresi:
Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design. Syst. Control. Lett. 127: 25-34 (2019) - [j18]Simone Formentin, Mirko Mazzoleni, Matteo Scandella, Fabio Previdi:
Nonlinear system identification via data augmentation. Syst. Control. Lett. 128: 56-63 (2019) - [j17]Alessandro Amodio, Michele Ermidoro, Davide Maggi, Simone Formentin, Sergio Matteo Savaresi:
Automatic Detection of Driver Impairment Based on Pupillary Light Reflex. IEEE Trans. Intell. Transp. Syst. 20(8): 3038-3048 (2019) - [c50]Anna Scampicchio, Alessandro Chiuso, Simone Formentin, Gianluigi Pillonetto:
Bayesian Kernel-Based Linear Control Design. CDC 2019: 822-827 - [c49]Gabriele Maroni, Simone Formentin, Fabio Previdi:
A robust design strategy for stock trading via feedback control. ECC 2019: 477-482 - [c48]Simone Gelmini, Simone Formentin, Silvia Carla Strada, Mara Tanelli, Sergio M. Savaresi:
Automatic driver phone hand-usage detection: A cepstrum-based approach. ECC 2019: 710-715 - [c47]Valentina Breschi, Simone Formentin, Giordano Scarciotti, Alessandro Astolfi:
Simulation-driven fixed-order controller tuning via moment matching. ECC 2019: 2307-2312 - 2018
- [j16]Carlo Novara, Simone Formentin:
Data-Driven Inversion-Based Control of Nonlinear Systems With Guaranteed Closed-Loop Stability. IEEE Trans. Autom. Control. 63(4): 1147-1154 (2018) - [j15]Dario Piga, Simone Formentin, Alberto Bemporad:
Direct Data-Driven Control of Constrained Systems. IEEE Trans. Control. Syst. Technol. 26(4): 1422-1429 (2018) - [c46]Gabriele Pozzato, Simone Formentin, Giulio Panzani, Sergio M. Savaresi:
Least Costly Energy Management for Extended Range Electric Vehicles with Start-Up Characterization. CCTA 2018: 1020-1025 - [c45]Simone Formentin, Alessandro Chiuso:
CoRe: Control-oriented Regularization for System Identification. CDC 2018: 2253-2258 - [c44]Gianmarco Rallo, Simone Formentin, Cristian R. Rojas, Sergio M. Savaresi:
Robust Experiment Design for Virtual Reference Feedback Tuning. CDC 2018: 2271-2276 - [c43]Simone Formentin, Gianmarco Rallo, Sergio M. Savaresi:
Data-Driven Clamping Force Control for an Electric Parking Brake Without Speed Measurement. CDC 2018: 5128-5133 - [c42]Mirko Mazzoleni, Matteo Scandella, Simone Formentin, Fabio Previdi:
Classification of Light Charged Particles Via Learning-Based System Identification. CDC 2018: 6053-6058 - [c41]Federico Reghenzani, Simone Formentin, Giuseppe Massari, William Fornaciari:
A constrained extremum-seeking control for CPU thermal management. CF 2018: 320-325 - [c40]Pauline Kergus, Simone Formentin, Charles Poussot-Vassal, Fabrice Demourant:
Data-driven control design in the Loewner framework: Dealing with stability and noise. ECC 2018: 1704-1709 - [c39]Mirko Mazzoleni, Simone Formentin, Matteo Scandella, Fabio Previdi:
Semi-supervised learning of dynamical systems: a preliminary study. ECC 2018: 2824-2829 - [c38]Dario Nava, Simone Formentin, Sergio M. Savaresi:
Online power meter calibration for accurate cyclist power control. ECC 2018: 3038-3043 - [c37]Davide Isgro, Giovanni Mantegazza, Simone Formentin, Giulio Panzani, Sergio M. Savaresi:
On-Line Data-Based Load Classification in Narrow-Track Vehicles. ITSC 2018: 3724-3729 - [c36]Simone Formentin, Fabio Previdi, Gabriele Maroni, Claudio Cantaro:
Stock Trading Via Feedback Control: an Extremum Seeking Approach. MED 2018: 523-528 - [i6]Carlo Novara, Simone Formentin:
Data-Driven Inversion-Based Control: closed-loop stability analysis for MIMO systems. CoRR abs/1801.08993 (2018) - 2017
- [j14]Jacopo Guanetti, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Optimal energy management in series hybrid electric bicycles. Autom. 81: 96-106 (2017) - [j13]Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi:
Robust Linear Static Anti-Windup With Probabilistic Certificates. IEEE Trans. Autom. Control. 62(4): 1575-1589 (2017) - [c35]Stefano Sabatini, Simone Formentin, Giulio Panzani, Jorge de-J. Lozoya-Santos, Sergio Matteo Savaresi:
Motorcycle tire rolling radius estimation for TPMS applications via GPS sensing. CCTA 2017: 1892-1897 - [c34]Simone Formentin, Simone Garatti, Marco C. Campi, Sergio M. Savaresi:
Tuning regularization via scenario optimization. CDC 2017: 635-640 - [c33]Gianmarco Rallo, Simone Formentin, Cristian R. Rojas, Tom Oomen, Sergio M. Savaresi:
Data-driven H∞-norm estimation via expert advice. CDC 2017: 1560-1565 - [c32]Alberto L. Cologni, Michele Ermidoro, Simone Formentin, Fabio Previdi:
Anti-sway fixed-order control of bridge cranes with varying rope length. ICM 2017: 56-61 - [c31]Matteo Parigi Polverini, Simone Formentin, Le Anh Dao, Paolo Rocco:
Data-driven design of implicit force control for industrial robots. ICRA 2017: 2322-2327 - [c30]Olga Galluppi, Filippo Colzi, Simone Formentin, Sergio M. Savaresi:
A vehicle-user matching tool to encourage electric mobility. Intelligent Vehicles Symposium 2017: 1625-1630 - 2016
- [j12]Simone Formentin, Dario Piga, Roland Tóth, Sergio M. Savaresi:
Direct learning of LPV controllers from data. Autom. 65: 98-110 (2016) - [j11]Carlo Novara, Simone Formentin, Sergio M. Savaresi, Mario Milanese:
Data-driven design of two degree-of-freedom nonlinear controllers: The -IBC approach. Autom. 72: 19-27 (2016) - [j10]Fabio Todeschini, Simone Formentin, Giulio Panzani, Matteo Corno, Sergio M. Savaresi, Luca Zaccarian:
Nonlinear Pressure Control for BBW Systems via Dead-Zone and Antiwindup Compensation. IEEE Trans. Control. Syst. Technol. 24(4): 1419-1431 (2016) - [j9]Matteo Corno, Simone Formentin, Sergio M. Savaresi:
Data-Driven Online Speed Optimization in Autonomous Sailboats. IEEE Trans. Intell. Transp. Syst. 17(3): 762-771 (2016) - [j8]Jacopo Guanetti, Simone Formentin, Sergio M. Savaresi:
Energy Management System for an Electric Vehicle With a Rental Range Extender: A Least Costly Approach. IEEE Trans. Intell. Transp. Syst. 17(11): 3022-3034 (2016) - [c29]Pietro Panizza, Davide Invernizzi, Fabio Riccardi, Simone Formentin, Marco Lovera:
Data-driven attitude control law design for a variable-pitch quadrotor. ACC 2016: 4434-4439 - [c28]Simone Formentin, Lorenzo Luini, Carlo Capsoni, Roberto Nebuloni, Diego Liberati:
Modeling rain fields for earth space propagation applications by an autoregressive modeling approach. ASMS/SPSC 2016: 1-4 - [c27]Gianmarco Rallo, Simone Formentin, Sergio M. Savaresi:
On data-driven control design for non-minimum-phase plants: A comparative view. CDC 2016: 7159-7164 - [c26]Gianmarco Rallo, Simone Formentin, Simone Garatti, Sergio M. Savaresi:
Vehicle stability control via VRFT with probabilistic robustness guarantees. CDC 2016: 7165-7170 - [c25]Gianmarco Rallo, Simone Formentin, Alessandro Chiuso, Sergio M. Savaresi:
Virtual reference feedback tuning with Bayesian regularization. ECC 2016: 507-512 - [i5]Gianmarco Rallo, Simone Formentin, Sergio Matteo Savaresi:
Online wheel speed filtering for periodic disturbance reduction: a strategy for an advanced bicycle application. CoRR abs/1610.01064 (2016) - 2015
- [c24]Jacopo Guanetti, Simone Formentin, Sergio M. Savaresi:
Least costly energy management for Electric Vehicles with plug-in Range Extenders. CDC 2015: 638-643 - [c23]Jacopo Guanetti, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Optimal energy management in series hybrid electric bicycles. CDC 2015: 869-874 - [c22]Carlo Novara, Simone Formentin, Sergio M. Savaresi, Mario Milanese:
A data-driven approach to nonlinear braking control. CDC 2015: 1453-1458 - [c21]Aida Brankovic, Daniele Berretta, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Modeling and speed limitation control of an electric kick scooter. ECC 2015: 697-702 - [c20]Simone Formentin, Andrea G. Bianchessi, Sergio M. Savaresi:
On the prediction of future vehicle locations in free-floating car sharing systems. Intelligent Vehicles Symposium 2015: 1006-1011 - [i4]Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi:
Robust static anti-windup augmentation with probabilistic certificates. CoRR abs/1505.06562 (2015) - [i3]Simone Formentin, Jacopo Guanetti, Sergio M. Savaresi:
Least costly energy management for series hybrid electric vehicles. CoRR abs/1510.07566 (2015) - 2014
- [j7]Simone Formentin, Alireza Karimi:
Enhancing statistical performance of data-driven controller tuning via L2-regularization. Autom. 50(5): 1514-1520 (2014) - [j6]Andrea G. Bianchessi, Gianpaolo Cugola, Simone Formentin, Angelo Morzenti, Carlo Ongini, Emanuele Panigati, Matteo Rossi, Sergio M. Savaresi, Fabio Alberto Schreiber, Letizia Tanca, Edoardo G. Vannutelli Depoli:
Green Move: A Platform for Highly Configurable, Heterogeneous Electric Vehicle Sharing. IEEE Intell. Transp. Syst. Mag. 6(3): 96-108 (2014) - [j5]Simone Formentin, Matteo Corno, Harald Waschl, Daniel Alberer, Sergio M. Savaresi:
${\rm NO}_{\rm x}$ Estimation in Diesel Engines via In-Cylinder Pressure Measurement. IEEE Trans. Control. Syst. Technol. 22(1): 396-403 (2014) - [j4]Simone Formentin, Alberto L. Cologni, Fabio Previdi, Sergio M. Savaresi:
A Data-Driven Approach to Control of Batch Processes With an Application to a Gravimetric Blender. IEEE Trans. Ind. Electron. 61(11): 6383-6390 (2014) - [c19]Fabio Todeschini, Simone Formentin, Giulio Panzani, Matteo Corno, Sergio M. Savaresi, Luca Zaccarian:
Deadzone compensation and anti-windup design for brake-by-wire systems. ACC 2014: 572-577 - [c18]Simone Formentin, Alberto L. Cologni, Fabio Previdi, Sergio M. Savaresi:
On batch process control using feature extraction with application to a gravimetric blender. ACC 2014: 1138-1143 - [c17]Michele Ermidoro, Simone Formentin, Alberto L. Cologni, Fabio Previdi, Sergio M. Savaresi:
On time-optimal anti-sway controller design for bridge cranes. ACC 2014: 2809-2814 - [c16]Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi:
Scenario optimization with certificates and applications to anti-windup design. CDC 2014: 2810-2815 - [c15]Mirko Mazzoleni, Simone Formentin, Fabio Previdi, Sergio M. Savaresi:
Fault Detection via modified Principal Direction Divisive Partitioning and application to aerospace electro-mechanical actuators. CDC 2014: 5770-5775 - [i2]Simone Formentin, Fabrizio Dabbene, Roberto Tempo, Luca Zaccarian, Sergio M. Savaresi:
Scenario optimization with certificates and applications to anti-windup design. CoRR abs/1403.5521 (2014) - [i1]Carlo Novara, Simone Formentin:
Data-driven controller design for nonlinear systems: a two degrees of freedom architecture. CoRR abs/1407.2068 (2014) - 2013
- [j3]Simone Formentin, Alireza Karimi, Sergio M. Savaresi:
Optimal input design for direct data-driven tuning of model-reference controllers. Autom. 49(6): 1874-1882 (2013) - [j2]Simone Formentin, Pierpaolo De Filippi, Matteo Corno, Mara Tanelli, Sergio M. Savaresi:
Data-Driven Design of Braking Control Systems. IEEE Trans. Control. Syst. Technol. 21(1): 186-193 (2013) - [j1]Simone Formentin, Alireza Karimi:
A Data-Driven Approach to Mixed-Sensitivity Control With Application to an Active Suspension System. IEEE Trans. Ind. Informatics 9(4): 2293-2300 (2013) - [c14]Simone Formentin, Alireza Karimi:
Direct data-driven design of sparse controllers. ACC 2013: 3099-3104 - [c13]Simone Formentin, Alireza Karimi:
On L2-regularization for Virtual Reference Feedback Tuning. ACC 2013: 3105-3110 - [c12]Simone Formentin, Dario Piga, Roland Tóth, Sergio M. Savaresi:
Direct data-driven control of linear parameter-varying systems. CDC 2013: 4110-4115 - [c11]Simone Formentin, Sergio M. Savaresi, Luca Zaccarian, Fabrizio Dabbene:
Randomized analysis and synthesis of robust linear static anti-windup. CDC 2013: 4498-4503 - [c10]Simone Formentin, Klaske van Heusden, Alireza Karimi:
Model-based and data-driven model-reference control: A comparative analysis. ECC 2013: 1410-1415 - [c9]Daniele Berretta, Nazario Urbano, Simone Formentin, Ivo Boniolo, Pierpaolo De Filippi, Sergio M. Savaresi:
Modeling, identification and control of a Boat Parking Assistance system. ECC 2013: 3012-3017 - [c8]Andrea G. Bianchessi, Simone Formentin, Sergio M. Savaresi:
Active fleet balancing in vehicle sharing systems via Feedback Dynamic Pricing. ITSC 2013: 1619-1624 - 2012
- [b1]Simone Formentin:
Direct data-driven control system design : theory and applications. Polytechnic University of Milan, Italy, 2012 - [c7]Simone Formentin, Markus Hirsch, Sergio M. Savaresi, Luigi del Re:
Direct data-driven control of a Diesel engine airpath. ACC 2012: 4198-4203 - [c6]Thomas E. Passenbrunner, Simone Formentin, Sergio M. Savaresi, Luigi del Re:
Direct data-driven control of internal combustion engine test benches using closed-loop experiments. CDC 2012: 3765-3770 - 2011
- [c5]Simone Formentin, Sergio M. Savaresi:
Noniterative data-driven design of multivariable controllers. CDC/ECC 2011: 5106-5111 - [c4]Simone Formentin, Marco Lovera:
Flatness-based control of a quadrotor helicopter via feedforward linearization. CDC/ECC 2011: 6171-6176 - 2010
- [c3]Simone Formentin, Pierpaolo De Filippi, Sergio M. Savaresi:
Optimal Design of Experiment for the Identification of Throttle-to-slip Dynamics in Two-wheeled Vehicles. CCA 2010: 142-147 - [c2]Simone Formentin, Matteo Corno, Sergio M. Savaresi, Luigi del Re:
Virtual Reference Feedback Tuning of Internal Model Controllers. CDC 2010: 5542-5547 - [c1]Simone Formentin, Sergio M. Savaresi, Markus Hirsch, Luigi del Re:
On the experimental protocol in Virtual Reference Feedback Tuning. CDC 2010: 5554-5559
Coauthor Index
aka: Sergio Matteo Savaresi
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