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2020 – today
- 2025
[j58]Gabriele Maroni
, Loris Cannelli, Dario Piga:
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus. Eur. J. Control 81: 101150 (2025)- 2024
- [c43]Marco Maccarini, Alberto Gottardi, Dario Piga, Loris Roveda:
PROPHET: PReference-Based OPtimization for Human-cEnTric Visual Inspection. ERF (2) 2024: 39-44 - [c42]Manuel Bianchi Bazzi, Asad Ali Shahid, Christopher Agia, John Irvin Alora, Marco Forgione, Dario Piga, Francesco Braghin, Marco Pavone, Loris Roveda:
RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. ICINCO (2) 2024: 149-156 - [i39]Loddo Fabio, Dario Piga, Umberto Michelucci, El Ghazouali Safouane:
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery. CoRR abs/2402.13918 (2024) - [i38]Dario Piga, Matteo Rufolo, Gabriele Maroni, Manas Mejari, Marco Forgione:
Synthetic data generation for system identification: leveraging knowledge transfer from similar systems. CoRR abs/2403.05164 (2024) - [i37]Marco Forgione, Manas Mejari, Dario Piga:
Model order reduction of deep structured state-space models: A system-theoretic approach. CoRR abs/2403.14833 (2024) - [i36]Gabriele Maroni, Filip Stojceski, Lorenzo Pallante, Marco Agostino Deriu, Dario Piga, Gianvito Grasso:
LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides. CoRR abs/2406.01617 (2024) - [i35]Manuel Bianchi Bazzi, Asad Ali Shahid, Christopher Agia, John Irvin Alora, Marco Forgione, Dario Piga, Francesco Braghin, Marco Pavone, Loris Roveda:
RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. CoRR abs/2409.11815 (2024) - [i34]Matteo Rufolo, Dario Piga, Gabriele Maroni, Marco Forgione:
Enhanced Transformer architecture for in-context learning of dynamical systems. CoRR abs/2410.03291 (2024) - [i33]Angelo Moroncelli, Vishal Soni, Asad Ali Shahid, Marco Maccarini, Marco Forgione, Dario Piga, Blerina Spahiu, Loris Roveda:
Integrating Reinforcement Learning with Foundation Models for Autonomous Robotics: Methods and Perspectives. CoRR abs/2410.16411 (2024) - [i32]Manas Mejari, Valentina Breschi, Simone Formentin, Dario Piga:
Bias correction and instrumental variables for direct data-driven model-reference control. CoRR abs/2411.05740 (2024) - [i31]Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin:
One controller to rule them all. CoRR abs/2411.06482 (2024) - 2023
- [j57]Ankit Gupta, Manas Mejari, Paolo Falcone, Dario Piga:
Computation of parameter dependent robust invariant sets for LPV models with guaranteed performance. Autom. 151: 110920 (2023) - [j56]Marco Forgione, Aneri Muni, Dario Piga, Marco Gallieri:
On the adaptation of recurrent neural networks for system identification. Autom. 155: 111092 (2023) - [j55]Loris Cannelli, Mengjia Zhu, Francesco Farina, Alberto Bemporad, Dario Piga:
Multi-Agent Active Learning for Distributed Black-Box Optimization. IEEE Control. Syst. Lett. 7: 1488-1493 (2023) - [j54]Manas Mejari, Ankit Gupta, Dario Piga:
Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems. IEEE Control. Syst. Lett. 7: 3355-3360 (2023) - [j53]Marco Forgione, Filippo Pura, Dario Piga:
From System Models to Class Models: An In-Context Learning Paradigm. IEEE Control. Syst. Lett. 7: 3513-3518 (2023) - [c41]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Bayesian Optimization For Choice Data. GECCO Companion 2023: 2272-2279 - [c40]Loris Roveda, Andrea Testa, Asad Ali Shahid, Francesco Braghin, Dario Piga:
Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract). IJCAI 2023: 6959-6963 - [c39]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Learning Choice Functions with Gaussian Processes. UAI 2023: 141-151 - [i30]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Learning Choice Functions with Gaussian Processes. CoRR abs/2302.00406 (2023) - [i29]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) - [i28]Marco Forgione, Dario Piga:
Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification. CoRR abs/2304.06349 (2023) - [i27]Marco Forgione, Filippo Pura, Dario Piga:
In-context learning for model-free system identification. CoRR abs/2308.13380 (2023) - [i26]Manas Mejari, Ankit Gupta, Dario Piga:
Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems. CoRR abs/2309.01814 (2023) - [i25]Raffaele Giuseppe Cestari, Gabriele Maroni, Loris Cannelli, Dario Piga, Simone Formentin:
Split-Boost Neural Networks. CoRR abs/2309.03167 (2023) - [i24]Francesca Venturini, Silvan Fluri, Manas Mejari, Michael Baumgartner, Dario Piga, Umberto Michelucci:
Shedding Light on the Ageing of Extra Virgin Olive Oil: Probing the Impact of Temperature with Fluorescence Spectroscopy and Machine Learning Techniques. CoRR abs/2309.12377 (2023) - [i23]Gabriele Maroni, Loris Cannelli, Dario Piga:
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus. CoRR abs/2311.14182 (2023) - [i22]Dario Piga, Filippo Pura, Marco Forgione:
On the adaptation of in-context learners for system identification. CoRR abs/2312.04083 (2023) - [i21]Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin:
In-context learning of state estimators. CoRR abs/2312.04509 (2023) - 2022
- [j52]Loris Roveda, Andrea Testa, Asad Ali Shahid, Francesco Braghin, Dario Piga:
Q-Learning-based model predictive variable impedance control for physical human-robot collaboration. Artif. Intell. 312: 103771 (2022) - [j51]Asad Ali Shahid, Dario Piga, Francesco Braghin, Loris Roveda:
Continuous control actions learning and adaptation for robotic manipulation through reinforcement learning. Auton. Robots 46(3): 483-498 (2022) - [j50]Manas Mejari, Bojan Mavkov, Marco Forgione, Dario Piga:
Direct identification of continuous-time LPV state-space models via an integral architecture. Autom. 142: 110407 (2022) - [j49]Federico Bianchi, Luigi Piroddi, Alberto Bemporad, Geza Halasz, Matteo Villani, Dario Piga:
Active preference-based optimization for human-in-the-loop feature selection. Eur. J. Control 66: 100647 (2022) - [j48]Loris Roveda, Marco Maroni, Lorenzo Mazzuchelli, Loris Praolini, Asad Ali Shahid, Giuseppe Bucca, Dario Piga:
Robot End-Effector Mounted Camera Pose Optimization in Object Detection-Based Tasks. J. Intell. Robotic Syst. 104(1): 16 (2022) - [j47]Dario Piga, Manas Mejari, Marco Forgione:
Learning Dynamical Systems From Quantized Observations: A Bayesian Perspective. IEEE Trans. Autom. Control. 67(10): 5471-5478 (2022) - [j46]Loris Roveda, Asad Ali Shahid, Niccolò Iannacci, Dario Piga:
Sensorless Optimal Interaction Control Exploiting Environment Stiffness Estimation. IEEE Trans. Control. Syst. Technol. 30(1): 218-233 (2022) - [j45]Mengjia Zhu, Dario Piga, Alberto Bemporad:
C-GLISp: Preference-Based Global Optimization Under Unknown Constraints With Applications to Controller Calibration. IEEE Trans. Control. Syst. Technol. 30(5): 2176-2187 (2022) - [c38]Antonio Paolillo, Mirko Nava, Dario Piga, Alessandro Giusti:
Visual Servoing with Geometrically Interpretable Neural Perception. IROS 2022: 5300-5306 - [i20]Marco Forgione, Aneri Muni, Dario Piga, Marco Gallieri:
On the adaptation of recurrent neural networks for system identification. CoRR abs/2201.08660 (2022) - [i19]Marco Forgione, Manas Mejari, Dario Piga:
Learning neural state-space models: do we need a state estimator? CoRR abs/2206.12928 (2022) - [i18]Manas Mejari, Dario Piga:
Direct identification of continuous-time linear switched state-space models. CoRR abs/2210.01488 (2022) - [i17]Antonio Paolillo, Mirko Nava, Dario Piga, Alessandro Giusti:
Visual Servoing with Geometrically Interpretable Neural Perception. CoRR abs/2210.10549 (2022) - 2021
- [j44]Loris Roveda, Daniele Riva, Giuseppe Bucca, Dario Piga:
Sensorless Optimal Switching Impact/Force Controller. IEEE Access 9: 158167-158184 (2021) - [j43]Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini, Marco Agostino Deriu:
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification. Algorithms 14(11): 301 (2021) - [j42]Loris Roveda, Dario Piga:
Sensorless environment stiffness and interaction force estimation for impedance control tuning in robotized interaction tasks. Auton. Robots 45(3): 371-388 (2021) - [j41]Federico Bianchi, Valentina Breschi, Dario Piga, Luigi Piroddi:
Model structure selection for switched NARX system identification: A randomized approach. Autom. 125: 109415 (2021) - [j40]Marco Forgione, Dario Piga:
Continuous-time system identification with neural networks: Model structures and fitting criteria. Eur. J. Control 59: 69-81 (2021) - [j39]Daniela Selvi, Dario Piga, Giorgio Battistelli, Alberto Bemporad:
Optimal direct data-driven control with stability guarantees. Eur. J. Control 59: 175-187 (2021) - [j38]Alberto Bemporad, Dario Piga:
Global optimization based on active preference learning with radial basis functions. Mach. Learn. 110(2): 417-448 (2021) - [j37]Alessio Benavoli, Dario Azzimonti, Dario Piga:
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. Mach. Learn. 110(11): 3095-3133 (2021) - [j36]Loris Roveda, Beatrice Maggioni, Elia Marescotti, Asad Ali Shahid, Andrea Maria Zanchettin, Alberto Bemporad, Dario Piga:
Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks. IEEE Robotics Autom. Lett. 6(4): 6632-6639 (2021) - [j35]Loris Roveda, Mauro Magni, Martina Cantoni, Dario Piga, Giuseppe Bucca:
Human-robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization. Robotics Auton. Syst. 136: 103711 (2021) - [c37]Alessio Benavoli, Dario Azzimonti, Dario Piga:
A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes. DSAA 2021: 1-2 - [c36]Mengjia Zhu, Alberto Bemporad, Dario Piga:
Preference-based MPC calibration. ECC 2021: 638-645 - [c35]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Preferential Bayesian optimisation with skew gaussian processes. GECCO Companion 2021: 1842-1850 - [c34]Loris Roveda, Beatrice Maggioni, Elia Marescotti, Asad Ali Shahid, Andrea Maria Zanchettin, Alberto Bemporad, Dario Piga:
Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks. IROS 2021: 1674-1681 - [c33]Loris Roveda, Marco Maroni, Lorenzo Mazzuchelli, Loris Praolini, Giuseppe Bucca, Dario Piga:
Enhancing Object Detection Performance Through Sensor Pose Definition with Bayesian Optimization. MetroInd4.0&IoT 2021: 699-703 - [c32]Loris Roveda, Daniele Riva, Giuseppe Bucca, Dario Piga:
External Joint Torques Estimation for a Position-Controlled Manipulator Employing an Extended Kalman Filter. UR 2021: 101-107 - [i16]Dario Piga, Marco Forgione, Manas Mejari:
Deep learning with transfer functions: new applications in system identification. CoRR abs/2104.09839 (2021) - [i15]Mengjia Zhu, Dario Piga, Alberto Bemporad:
C-GLISp: Preference-Based Global Optimization under Unknown Constraints with Applications to Controller Calibration. CoRR abs/2106.05639 (2021) - [i14]Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini, Marco Agostino Deriu:
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification. CoRR abs/2107.11609 (2021) - [i13]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Choice functions based multi-objective Bayesian optimisation. CoRR abs/2110.08217 (2021) - 2020
- [j34]Vincent Laurain, Roland Tóth, Dario Piga, Mohamed Abdelmonim Hassan Darwish:
Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification. Autom. 115: 108914 (2020) - [j33]Dario Piga, Alberto Bemporad, Alessio Benavoli:
Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models. Autom. 117: 109002 (2020) - [j32]Dario Piga, Valentina Breschi, Alberto Bemporad:
Estimation of jump Box-Jenkins models. Autom. 120: 109126 (2020) - [j31]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) - [j30]Bojan Mavkov, Marco Forgione, Dario Piga:
Integrated Neural Networks for Nonlinear Continuous-Time System Identification. IEEE Control. Syst. Lett. 4(4): 851-856 (2020) - [j29]Manas Mejari, Valentina Breschi, Dario Piga:
Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models. IEEE Control. Syst. Lett. 4(4): 970-975 (2020) - [j28]Dario Piga:
Finite-horizon integration for continuous-time identification: bias analysis and application to variable stiffness actuators. Int. J. Control 93(10): 2378-2391 (2020) - [j27]Loris Roveda, Dario Piga:
Robust state dependent Riccati equation variable impedance control for robotic force-tracking tasks. Int. J. Intell. Robotics Appl. 4(4): 507-519 (2020) - [j26]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Skew Gaussian processes for classification. Mach. Learn. 109(9-10): 1877-1902 (2020) - [c31]Loris Roveda, Dario Piga:
Interaction Force Computation Exploiting Environment Stiffness Estimation for Sensorless Robot Applications. MetroInd4.0&IoT 2020: 360-363 - [c30]Loris Roveda, Mauro Magni, Martina Cantoni, Dario Piga, Giuseppe Bucca:
Assembly Task Learning and Optimization through Human's Demonstration and Machine Learning. SMC 2020: 1852-1859 - [c29]Asad Ali Shahid, Loris Roveda, Dario Piga, Francesco Braghin:
Learning Continuous Control Actions for Robotic Grasping with Reinforcement Learning. SMC 2020: 4066-4072 - [c28]Loris Roveda, Marco Forgione, Dario Piga:
One-Stage Auto-Tuning Procedure of Robot Dynamics and Control Parameters for Trajectory Tracking Applications. UR 2020: 105-112 - [i12]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Skew Gaussian Processes for Classification. CoRR abs/2005.12987 (2020) - [i11]Marco Forgione, Dario Piga:
dynoNet: a neural network architecture for learning dynamical systems. CoRR abs/2006.02250 (2020) - [i10]Marco Forgione, Dario Piga:
Continuous-time system identification with neural networks: model structures and fitting criteria. CoRR abs/2006.02915 (2020) - [i9]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Preferential Bayesian optimisation with Skew Gaussian Processes. CoRR abs/2008.06677 (2020) - [i8]Ankit Gupta, Manas Mejari, Paolo Falcone, Dario Piga:
Computation of Parameter Dependent Robust Invariant Sets for LPV Models with Guaranteed Performance. CoRR abs/2009.09778 (2020) - [i7]Alessio Benavoli, Dario Azzimonti, Dario Piga:
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. CoRR abs/2012.06846 (2020)
2010 – 2019
- 2019
- [j25]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) - [j24]Cristina Rottondi, Marco Derboni, Dario Piga, Andrea Emilio Rizzoli:
An optimisation-based energy disaggregation algorithm for low frequency smart meter data. Energy Inform. 2(S1) (2019) - [j23]Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon:
Sum-of-squares for bounded rationality. Int. J. Approx. Reason. 105: 130-152 (2019) - [c27]Valentina Breschi, Dario Piga, Alberto Bemporad:
Maximum-a-posteriori estimation of jump Box-Jenkins models. CDC 2019: 1532-1537 - [c26]Manas Mejari, Dario Piga, Roland Tóth, Alberto Bemporad:
Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation. ECC 2019: 337-342 - [c25]Dario Piga, Alessio Benavoli:
Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering. ECC 2019: 400-405 - [c24]Andrea Barni, Alessandro Brusaferri, Franco Antonio Cavadini, Giuseppe Landolfi, Sandeep Patil, Dario Piga, Stefano Spinelli, Valeriy Vyatkin:
Fostering the creation of a Digital Ecosystem by a distributed IEC-61499 based automation platform. INDIN 2019: 635-640 - [i6]Alberto Bemporad, Dario Piga:
Active preference learning based on radial basis functions. CoRR abs/1909.13049 (2019) - [i5]Marco Forgione, Dario Piga, Alberto Bemporad:
Efficient Calibration of Embedded MPC. CoRR abs/1911.13021 (2019) - [i4]Marco Forgione, Dario Piga:
Model structures and fitting criteria for system identification with neural networks. CoRR abs/1911.13034 (2019) - 2018
- [j22]Manas Mejari, Dario Piga, Alberto Bemporad:
A bias-correction method for closed-loop identification of Linear Parameter-Varying systems. Autom. 87: 128-141 (2018) - [j21]Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd:
Fitting jump models. Autom. 96: 11-21 (2018) - [j20]Dario Piga, Simone Formentin, Alberto Bemporad:
Direct Data-Driven Control of Constrained Systems. IEEE Trans. Control. Syst. Technol. 26(4): 1422-1429 (2018) - [c23]Valentina Breschi, Alberto Bemporad, Dario Piga, Stephen P. Boyd:
Prediction error methods in learning jump ARMAX models. CDC 2018: 2247-2252 - [c22]Manas Mejari, Vihangkumar V. Naik, Dario Piga, Alberto Bemporad:
Energy Disaggregation using Piecewise Affine Regression and Binary Quadratic Programming. CDC 2018: 3116-3121 - [c21]Daniela Selvi, Dario Piga, Alberto Bemporad:
Towards direct data-driven model-free design of optimal controllers. ECC 2018: 2836-2841 - 2017
- [j19]Dario Piga, Alessio Benavoli:
A Unified Framework for Deterministic and Probabilistic $\mathscr {D}$-Stability Analysis of Uncertain Polynomial Matrices. IEEE Trans. Autom. Control. 62(10): 5437-5444 (2017) - [c20]Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon:
SOS for Bounded Rationality. ISIPTA 2017: 25-36 - [c19]Vihangkumar V. Naik, Manas Mejari, Dario Piga, Alberto Bemporad:
Regularized moving-horizon piecewise affine regression using mixed-integer quadratic programming. MED 2017: 1349-1354 - [i3]Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd:
Fitting Jump Models. CoRR abs/1711.09220 (2017) - 2016
- [j18]Simone Formentin, Dario Piga, Roland Tóth, Sergio M. Savaresi:
Direct learning of LPV controllers from data. Autom. 65: 98-110 (2016) - [j17]Alessio Benavoli, Dario Piga:
A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding. Autom. 70: 158-172 (2016) - [j16]Valentina Breschi, Dario Piga, Alberto Bemporad:
Piecewise affine regression via recursive multiple least squares and multicategory discrimination. Autom. 73: 155-162 (2016) - [j15]Dario Piga:
Computation of the Structured Singular Value via Moment LMI Relaxations. IEEE Trans. Autom. Control. 61(2): 520-525 (2016) - [j14]Dario Piga, Andrea Cominola, Matteo Giuliani, Andrea Castelletti, Andrea Emilio Rizzoli:
Sparse Optimization for Automated Energy End Use Disaggregation. IEEE Trans. Control. Syst. Technol. 24(3): 1044-1051 (2016) - [c18]Valentina Breschi, Dario Piga, Alberto Bemporad:
Learning hybrid models with logical and continuous dynamics via multiclass linear separation. CDC 2016: 353-358 - [c17]Manas Mejari, Dario Piga, Alberto Bemporad:
Regularized least square support vector machines for order and structure selection of LPV-ARX models. ECC 2016: 1649-1654 - [c16]Valentina Breschi, Alberto Bemporad, Dario Piga:
Identification of hybrid and linear parameter varying models via recursive piecewise affine regression and discrimination. ECC 2016: 2632-2637 - 2015
- [j13]Dario Piga, Pepijn B. Cox, Roland Tóth, Vincent Laurain:
LPV system identification under noise corrupted scheduling and output signal observations. Autom. 53: 329-338 (2015) - [j12]Vincent Laurain, Roland Tóth, Dario Piga, Wei Xing Zheng:
An instrumental least squares support vector machine for nonlinear system identification. Autom. 54: 340-347 (2015) - [j11]Alessandro Cominola, Matteo Giuliani, Dario Piga, Andrea Castelletti, Andrea Emilio Rizzoli:
Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review. Environ. Model. Softw. 72: 198-214 (2015) - [i2]Alessio Benavoli, Dario Piga:
A stochastic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding. CoRR abs/1505.01034 (2015) - 2014
- [j10]Dario Piga, Roland Tóth:
A bias-corrected estimator for nonlinear systems with output-error type model structures. Autom. 50(9): 2373-2380 (2014) - [j9]Vito Cerone, Jean-Bernard Lasserre, Dario Piga, Diego Regruto:
A Unified Framework for Solving a General Class of Conditional and Robust Set-Membership Estimation Problems. IEEE Trans. Autom. Control. 59(11): 2897-2909 (2014) - [c15]Rene Duijkers, Roland Tóth, Dario Piga, Vincent Laurain:
Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification. CDC 2014: 2561-2566 - [i1]Vito Cerone, Jean-Bernard Lasserre, Dario Piga, Diego Regruto:
A unified framework for solving a general class of conditional and robust set-membership estimation problems. CoRR abs/1408.0532 (2014) - 2013
- [j8]Vito Cerone, Dario Piga, Diego Regruto:
A convex relaxation approach to set-membership identification of LPV systems. Autom. 49(9): 2853-2859 (2013) - [j7]Dario Piga, Roland Tóth:
An SDP approach for l0-minimization: Application to ARX model segmentation. Autom. 49(12): 3646-3653 (2013) - [j6]Vito Cerone, Dario Piga, Diego Regruto:
Fixed-order FIR approximation of linear systems from quantized input and output data. Syst. Control. Lett. 62(12): 1136-1142 (2013) - [j5]Vito Cerone, Dario Piga, Diego Regruto:
Computational Load Reduction in Bounded Error Identification of Hammerstein Systems. IEEE Trans. Autom. Control. 58(5): 1317-1322 (2013) - [c14]Simone Formentin, Dario Piga, Roland Tóth, Sergio M. Savaresi:
Direct data-driven control of linear parameter-varying systems. CDC 2013: 4110-4115 - [c13]Dario Piga, Roland Tóth:
LPV model order selection in an LS-SVM setting. CDC 2013: 4128-4133 - 2012
- [b1]Dario Piga:
A convex relaxation approach to set-membership identification. Polytechnic University of Turin, Italy, 2012 - [j4]Vito Cerone, Dario Piga, Diego Regruto:
Bounded error identification of Hammerstein systems through sparse polynomial optimization. Autom. 48(10): 2693-2698 (2012) - [j3]Vito Cerone, Dario Piga, Diego Regruto:
Set-Membership Error-in-Variables Identification Through Convex Relaxation Techniques. IEEE Trans. Autom. Control. 57(2): 517-522 (2012) - [c12]Vito Cerone, Dario Piga, Diego Regruto, Roland Tóth:
Minimal LPV state-space realization driven set-membership identification. ACC 2012: 3421-3426 - [c11]Vito Cerone, Dario Piga, Diego Regruto:
Robust pole placement for plants with semialgebraic parametric uncertainty. ACC 2012: 5240-5245 - [c10]Vito Cerone, Dario Piga, Diego Regruto, Roland Tóth:
Fixed order LPV controller design for LPV models in input-output form. CDC 2012: 6297-6302 - [c9]Vito Cerone, Dario Piga, Diego Regruto:
Polytopic outer approximations of semialgebraic sets. CDC 2012: 7793-7798 - 2011
- [j2]Vito Cerone, Dario Piga, Diego Regruto:
Set-membership LPV model identification of vehicle lateral dynamics. Autom. 47(8): 1794-1799 (2011) - [j1]Vito Cerone, Dario Piga, Diego Regruto:
Enforcing stability constraints in set-membership identification of linear dynamic systems. Autom. 47(11): 2488-2494 (2011) - [c8]Vito Cerone, Dario Piga, Diego Regruto:
Convex relaxation techniques for set-membership identification of LPV systems. ACC 2011: 171-176 - [c7]Vito Cerone, Dario Piga, Diego Regruto:
Hammerstein systems parameters bounding through sparse polynomial optimization. ACC 2011: 1247-1252 - [c6]Vito Cerone, Dario Piga, Diego Regruto:
Set-membership identification of Hammerstein-Wiener systems. CDC/ECC 2011: 2819-2824 - [c5]Massimo Canale, Vito Cerone, Dario Piga, Diego Regruto:
Fast implementation of model predictive control with guaranteed performance. CDC/ECC 2011: 3375-3380 - 2010
- [c4]Vito Cerone, Dario Piga, Diego Regruto:
Bounding the parameters of linear systems with stability constraints. ACC 2010: 2152-2157 - [c3]Vito Cerone, Dario Piga, Diego Regruto:
Set-membership EIV identification through LMI relaxation techniques. ACC 2010: 2158-2163 - [c2]Mario Milanese, Lorenzo Fagiano, Dario Piga:
Control as a key technology for a radical innovation in wind energy generation. ACC 2010: 2361-2377
2000 – 2009
- 2009
- [c1]Vito Cerone, Dario Piga, Diego Regruto:
Set-membership identification of block-structured nonlinear feedback systems. CDC 2009: 3643-3649
Coauthor Index
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last updated on 2025-01-27 00:51 CET by the dblp team
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