Dario Piga - RankMe

162 papers A* 1A 3B 3C 8Journal 114Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Direct data-driven model-reference control for constrained systems. IFAC J. Syst. Control. Manas Mejari, Milad Banitalebi Dehkordi, Dario Piga
2026	J	`jnl`	On the normalization of gray-box state-space neural networks. Autom. Milad Banitalebi Dehkordi, Marco Forgione, Gionata Cimini, Lapo Frascati, Dario Piga
2026	J	`jnl`	Rao-Blackwellized Stein Gradient Descent for Joint State-Parameter Estimation. CoRR Milad Banitalebi Dehkordi, Manas Mejari, Dario Piga
2026	J	`jnl`	Regularized GLISp for sensor-guided human-in-the-loop optimization. IFAC J. Syst. Control. Matteo Cercola, Michele Lomuscio, Dario Piga, Simone Formentin
2026	J	`jnl`	The duality of generative AI and reinforcement learning in robotics: A review. Inf. Fusion Angelo Moroncelli, Vishal Soni, Marco Forgione, Dario Piga, Blerina Spahiu, Loris Roveda
2025	J	`jnl`	Bias correction and instrumental variables for direct data-driven model-reference control. Eur. J. Control Manas Mejari, Valentina Breschi, Milad Banitalebi Dehkordi, Simone Formentin, Dario Piga
2025	J	`jnl`	Contactless Estimation of Respiratory Frequency Using 3D-CNN on Thermal Images. IEEE J. Biomed. Health Informatics Federica Gioia, Filippo Pura, Alberto Greco, Dario Piga, Arcangelo Merla, Marco Forgione
2025	J	`jnl`	Distributionally Robust Minimization in Meta-Learning for System Identification. IEEE Control. Syst. Lett. Matteo Rufolo, Dario Piga, Marco Forgione
2025	J	`jnl`	Distributionally robust minimization in meta-learning for system identification. CoRR Matteo Rufolo, Dario Piga, Marco Forgione
2025	—	`conf`	Enhanced Transformer architecture for in-context learning of dynamical systems. ECC Matteo Rufolo, Dario Piga, Gabriele Maroni, Marco Forgione
2025	J	`jnl`	Experience in Engineering Complex Systems: Active Preference Learning With Multiple Outcomes and Certainty Levels. IEEE Trans. Hum. Mach. Syst. Le Anh Dao, Marco Maccarini, Matteo Lavit Nicora, Matteo Meregalli Falerni, Marta Mondellini, Palaniappan Veerappan, Lorenzo Mantovani, Dario Piga, Simone Formentin, Matteo Malosio, Loris Roveda
2025	J	`jnl`	Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus. Eur. J. Control Gabriele Maroni, Loris Cannelli, Dario Piga
2025	J	`jnl`	In-Context Learning for Zero-Shot Speed Estimation of BLDC motors. CoRR Alessandro Colombo, Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
2025	J	`jnl`	Learning Low-Dimensional Embeddings for Black-Box Optimization. CoRR Riccardo Busetto, Manas Mejari, Marco Forgione, Alberto Bemporad, Dario Piga
2025	J	`jnl`	Manifold meta-learning for reduced-complexity neural system identification. CoRR Marco Forgione, Ankush Chakrabarty, Dario Piga, Matteo Rufolo, Alberto Bemporad
2025	J	`jnl`	Nonlinear System Identification Nano-drone Benchmark. CoRR Riccardo Busetto, Elia Cereda, Marco Forgione, Gabriele Maroni, Dario Piga, Daniele Palossi
2025	J	`jnl`	Regularized GLISp for sensor-guided human-in-the-loop optimization. CoRR Matteo Cercola, Michele Lomuscio, Dario Piga, Simone Formentin
2025	J	`jnl`	Uncertainty quantification in neural state-space models: Applications for experiment design and uncertainty-aware MPC. Eur. J. Control Milad Banitalebi Dehkordi, Marco Forgione, Dario Piga
2025	J	`jnl`	dynoGP: Deep Gaussian Processes for dynamic system identification. CoRR Alessio Benavoli, Dario Piga, Marco Forgione, Marco Zaffalon
2024	J	`jnl`	BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery. CoRR Loddo Fabio, Dario Piga, Umberto Michelucci, Safouane El Ghazouali
2024	J	`jnl`	Bias correction and instrumental variables for direct data-driven model-reference control. CoRR Manas Mejari, Valentina Breschi, Simone Formentin, Dario Piga
2024	J	`jnl`	Enhanced Transformer architecture for in-context learning of dynamical systems. CoRR Matteo Rufolo, Dario Piga, Gabriele Maroni, Marco Forgione
2024	J	`jnl`	Integrating Reinforcement Learning with Foundation Models for Autonomous Robotics: Methods and Perspectives. CoRR Angelo Moroncelli, Vishal Soni, Asad Ali Shahid, Marco Maccarini, Marco Forgione, Dario Piga, Blerina Spahiu, Loris Roveda
2024	J	`jnl`	LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides. CoRR Gabriele Maroni, Filip Stojceski, Lorenzo Pallante, Marco Agostino Deriu, Dario Piga, Gianvito Grasso
2024	—	`conf`	Model order reduction of deep structured state-space models: A system-theoretic approach. CDC Marco Forgione, Manas Mejari, Dario Piga
2024	J	`jnl`	Model order reduction of deep structured state-space models: A system-theoretic approach. CoRR Marco Forgione, Manas Mejari, Dario Piga
2024	J	`jnl`	One controller to rule them all. CoRR Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
2024	—	`conf`	PROPHET: PReference-Based OPtimization for Human-cEnTric Visual Inspection. ERF (2) Marco Maccarini, Alberto Gottardi, Dario Piga, Loris Roveda
2024	—	`conf`	RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. ICINCO (2) Manuel Bianchi Bazzi, Asad Ali Shahid, Christopher Agia, John Irvin Alora, Marco Forgione, Dario Piga, Francesco Braghin, Marco Pavone, Loris Roveda
2024	J	`jnl`	RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. CoRR Manuel Bianchi Bazzi, Asad Ali Shahid, Christopher Agia, John Irvin Alora, Marco Forgione, Dario Piga, Francesco Braghin, Marco Pavone, Loris Roveda
2024	—	`conf`	Synthetic data generation for system identification: leveraging knowledge transfer from similar systems. CDC Dario Piga, Matteo Rufolo, Gabriele Maroni, Manas Mejari, Marco Forgione
2024	J	`jnl`	Synthetic data generation for system identification: leveraging knowledge transfer from similar systems. CoRR Dario Piga, Matteo Rufolo, Gabriele Maroni, Manas Mejari, Marco Forgione
2023	—	`conf`	Bayesian Optimization For Choice Data. GECCO Companion Alessio Benavoli, Dario Azzimonti, Dario Piga
2023	J	`jnl`	Computation of parameter dependent robust invariant sets for LPV models with guaranteed performance. Autom. Ankit Gupta, Manas Mejari, Paolo Falcone, Dario Piga
2023	J	`jnl`	Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems. CoRR Manas Mejari, Ankit Gupta, Dario Piga
2023	J	`jnl`	Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems. IEEE Control. Syst. Lett. Manas Mejari, Ankit Gupta, Dario Piga
2023	J	`jnl`	Experience in Engineering Complex Systems: Active Preference Learning with Multiple Outcomes and Certainty Levels. CoRR 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
2023	J	`jnl`	From System Models to Class Models: An In-Context Learning Paradigm. IEEE Control. Syst. Lett. Marco Forgione, Filippo Pura, Dario Piga
2023	J	`jnl`	Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus. CoRR Gabriele Maroni, Loris Cannelli, Dario Piga
2023	J	`jnl`	In-context learning for model-free system identification. CoRR Marco Forgione, Filippo Pura, Dario Piga
2023	J	`jnl`	In-context learning of state estimators. CoRR Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
2023	A	`conf`	Learning Choice Functions with Gaussian Processes. UAI Alessio Benavoli, Dario Azzimonti, Dario Piga
2023	J	`jnl`	Learning Choice Functions with Gaussian Processes. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2023	J	`jnl`	Multi-Agent Active Learning for Distributed Black-Box Optimization. IEEE Control. Syst. Lett. Loris Cannelli, Mengjia Zhu, Francesco Farina, Alberto Bemporad, Dario Piga
2023	J	`jnl`	Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification. CoRR Marco Forgione, Dario Piga
2023	J	`jnl`	On the adaptation of in-context learners for system identification. CoRR Dario Piga, Filippo Pura, Marco Forgione
2023	J	`jnl`	On the adaptation of recurrent neural networks for system identification. Autom. Marco Forgione, Aneri Muni, Dario Piga, Marco Gallieri
2023	A*	`conf`	Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract). IJCAI Loris Roveda, Andrea Testa, Asad Ali Shahid, Francesco Braghin, Dario Piga
2023	—	`conf`	Self-Modulated Adaptive Robotic Deposition: an Application to the Aerospace Industry. ICECET Marco Maccarini, Asad Ali Shahid, Dario Piga, Loris Roveda
2023	J	`jnl`	Shedding Light on the Ageing of Extra Virgin Olive Oil: Probing the Impact of Temperature with Fluorescence Spectroscopy and Machine Learning Techniques. CoRR Francesca Venturini, Silvan Fluri, Manas Mejari, Michael Baumgartner, Dario Piga, Umberto Michelucci
2023	J	`jnl`	Split-Boost Neural Networks. CoRR Raffaele Giuseppe Cestari, Gabriele Maroni, Loris Cannelli, Dario Piga, Simone Formentin
2022	J	`jnl`	Active preference-based optimization for human-in-the-loop feature selection. Eur. J. Control Federico Bianchi, Luigi Piroddi, Alberto Bemporad, Geza Halasz, Matteo Villani, Dario Piga
2022	J	`jnl`	C-GLISp: Preference-Based Global Optimization Under Unknown Constraints With Applications to Controller Calibration. IEEE Trans. Control. Syst. Technol. Mengjia Zhu, Dario Piga, Alberto Bemporad
2022	J	`jnl`	Continuous control actions learning and adaptation for robotic manipulation through reinforcement learning. Auton. Robots Asad Ali Shahid, Dario Piga, Francesco Braghin, Loris Roveda
2022	J	`jnl`	Direct identification of continuous-time LPV state-space models via an integral architecture. Autom. Manas Mejari, Bojan Mavkov, Marco Forgione, Dario Piga
2022	J	`jnl`	Direct identification of continuous-time linear switched state-space models. CoRR Manas Mejari, Dario Piga
2022	J	`jnl`	Learning Dynamical Systems From Quantized Observations: A Bayesian Perspective. IEEE Trans. Autom. Control. Dario Piga, Manas Mejari, Marco Forgione
2022	J	`jnl`	Learning neural state-space models: do we need a state estimator? CoRR Marco Forgione, Manas Mejari, Dario Piga
2022	J	`jnl`	On the adaptation of recurrent neural networks for system identification. CoRR Marco Forgione, Aneri Muni, Dario Piga, Marco Gallieri
2022	J	`jnl`	Q-Learning-based model predictive variable impedance control for physical human-robot collaboration. Artif. Intell. Loris Roveda, Andrea Testa, Asad Ali Shahid, Francesco Braghin, Dario Piga
2022	J	`jnl`	Robot End-Effector Mounted Camera Pose Optimization in Object Detection-Based Tasks. J. Intell. Robotic Syst. Loris Roveda, Marco Maroni, Lorenzo Mazzuchelli, Loris Praolini, Asad Ali Shahid, Giuseppe Bucca, Dario Piga
2022	J	`jnl`	Sensorless Optimal Interaction Control Exploiting Environment Stiffness Estimation. IEEE Trans. Control. Syst. Technol. Loris Roveda, Asad Ali Shahid, Niccolò Iannacci, Dario Piga
2022	A	`conf`	Visual Servoing with Geometrically Interpretable Neural Perception. IROS Antonio Paolillo, Mirko Nava, Dario Piga, Alessandro Giusti
2022	J	`jnl`	Visual Servoing with Geometrically Interpretable Neural Perception. CoRR Antonio Paolillo, Mirko Nava, Dario Piga, Alessandro Giusti
2021	J	`jnl`	A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification. Algorithms Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini, Marco Agostino Deriu
2021	J	`jnl`	A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification. CoRR Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini, Marco Agostino Deriu
2021	B	`conf`	A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes. DSAA Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	J	`jnl`	A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. Mach. Learn. Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	J	`jnl`	C-GLISp: Preference-Based Global Optimization under Unknown Constraints with Applications to Controller Calibration. CoRR Mengjia Zhu, Dario Piga, Alberto Bemporad
2021	J	`jnl`	Choice functions based multi-objective Bayesian optimisation. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	J	`jnl`	Continuous-time system identification with neural networks: Model structures and fitting criteria. Eur. J. Control Marco Forgione, Dario Piga
2021	J	`jnl`	Deep learning with transfer functions: new applications in system identification. CoRR Dario Piga, Marco Forgione, Manas Mejari
2021	—	`conf`	Enhancing Object Detection Performance Through Sensor Pose Definition with Bayesian Optimization. MetroInd4.0&IoT Loris Roveda, Marco Maroni, Lorenzo Mazzuchelli, Loris Praolini, Giuseppe Bucca, Dario Piga
2021	—	`conf`	External Joint Torques Estimation for a Position-Controlled Manipulator Employing an Extended Kalman Filter. UR Loris Roveda, Daniele Riva, Giuseppe Bucca, Dario Piga
2021	J	`jnl`	Global optimization based on active preference learning with radial basis functions. Mach. Learn. Alberto Bemporad, Dario Piga
2021	J	`jnl`	Human-robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization. Robotics Auton. Syst. Loris Roveda, Mauro Magni, Martina Cantoni, Dario Piga, Giuseppe Bucca
2021	J	`jnl`	Model structure selection for switched NARX system identification: A randomized approach. Autom. Federico Bianchi, Valentina Breschi, Dario Piga, Luigi Piroddi
2021	J	`jnl`	Optimal direct data-driven control with stability guarantees. Eur. J. Control Daniela Selvi, Dario Piga, Giorgio Battistelli, Alberto Bemporad
2021	A	`conf`	Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks. IROS Loris Roveda, Beatrice Maggioni, Elia Marescotti, Asad Ali Shahid, Andrea Maria Zanchettin, Alberto Bemporad, Dario Piga
2021	J	`jnl`	Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks. IEEE Robotics Autom. Lett. Loris Roveda, Beatrice Maggioni, Elia Marescotti, Asad Ali Shahid, Andrea Maria Zanchettin, Alberto Bemporad, Dario Piga
2021	—	`conf`	Preference-based MPC calibration. ECC Mengjia Zhu, Alberto Bemporad, Dario Piga
2021	—	`conf`	Preferential Bayesian optimisation with skew gaussian processes. GECCO Companion Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	J	`jnl`	Sensorless Optimal Switching Impact/Force Controller. IEEE Access Loris Roveda, Daniele Riva, Giuseppe Bucca, Dario Piga
2021	J	`jnl`	Sensorless environment stiffness and interaction force estimation for impedance control tuning in robotized interaction tasks. Auton. Robots Loris Roveda, Dario Piga
2020	J	`jnl`	A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2020	B	`conf`	Assembly Task Learning and Optimization through Human's Demonstration and Machine Learning. SMC Loris Roveda, Mauro Magni, Martina Cantoni, Dario Piga, Giuseppe Bucca
2020	J	`jnl`	Computation of Parameter Dependent Robust Invariant Sets for LPV Models with Guaranteed Performance. CoRR Ankit Gupta, Manas Mejari, Paolo Falcone, Dario Piga
2020	J	`jnl`	Continuous-time system identification with neural networks: model structures and fitting criteria. CoRR Marco Forgione, Dario Piga
2020	J	`jnl`	Estimation of jump Box-Jenkins models. Autom. Dario Piga, Valentina Breschi, Alberto Bemporad
2020	J	`jnl`	Finite-horizon integration for continuous-time identification: bias analysis and application to variable stiffness actuators. Int. J. Control Dario Piga
2020	J	`jnl`	Integrated Neural Networks for Nonlinear Continuous-Time System Identification. IEEE Control. Syst. Lett. Bojan Mavkov, Marco Forgione, Dario Piga
2020	—	`conf`	Interaction Force Computation Exploiting Environment Stiffness Estimation for Sensorless Robot Applications. MetroInd4.0&IoT Loris Roveda, Dario Piga
2020	B	`conf`	Learning Continuous Control Actions for Robotic Grasping with Reinforcement Learning. SMC Asad Ali Shahid, Loris Roveda, Dario Piga, Francesco Braghin
2020	—	`conf`	One-Stage Auto-Tuning Procedure of Robot Dynamics and Control Parameters for Trajectory Tracking Applications. UR Loris Roveda, Marco Forgione, Dario Piga
2020	J	`jnl`	Preferential Bayesian optimisation with Skew Gaussian Processes. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2020	J	`jnl`	Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models. Autom. Dario Piga, Alberto Bemporad, Alessio Benavoli
2020	J	`jnl`	Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models. IEEE Control. Syst. Lett. Manas Mejari, Valentina Breschi, Dario Piga
2020	J	`jnl`	Robust state dependent Riccati equation variable impedance control for robotic force-tracking tasks. Int. J. Intell. Robotics Appl. Loris Roveda, Dario Piga
2020	J	`jnl`	Skew Gaussian Processes for Classification. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2020	J	`jnl`	Skew Gaussian processes for classification. Mach. Learn. Alessio Benavoli, Dario Azzimonti, Dario Piga
2020	J	`jnl`	Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification. Autom. Vincent Laurain, Roland Tóth, Dario Piga, Mohamed Abdelmonim Hassan Darwish
2020	J	`jnl`	Torque Vectoring for High-Performance Electric Vehicles: An Efficient MPC Calibration. IEEE Control. Syst. Lett. Alberto Lucchini, Simone Formentin, Matteo Corno, Dario Piga, Sergio M. Savaresi
2020	J	`jnl`	dynoNet: a neural network architecture for learning dynamical systems. CoRR Marco Forgione, Dario Piga
2019	J	`jnl`	Active preference learning based on radial basis functions. CoRR Alberto Bemporad, Dario Piga
2019	J	`jnl`	An optimisation-based energy disaggregation algorithm for low frequency smart meter data. Energy Inform. Cristina Rottondi, Marco Derboni, Dario Piga, Andrea Emilio Rizzoli
2019	J	`jnl`	Efficient Calibration of Embedded MPC. CoRR Marco Forgione, Dario Piga, Alberto Bemporad
2019	C	`conf`	Fostering the creation of a Digital Ecosystem by a distributed IEC-61499 based automation platform. INDIN Andrea Barni, Alessandro Brusaferri, Franco Antonio Cavadini, Giuseppe Landolfi, Sandeep Patil, Dario Piga, Stefano Spinelli, Valeriy Vyatkin
2019	—	`conf`	Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation. ECC Manas Mejari, Dario Piga, Roland Tóth, Alberto Bemporad
2019	—	`conf`	Maximum-a-posteriori estimation of jump Box-Jenkins models. CDC Valentina Breschi, Dario Piga, Alberto Bemporad
2019	J	`jnl`	Model structures and fitting criteria for system identification with neural networks. CoRR Marco Forgione, Dario Piga
2019	J	`jnl`	Performance-Oriented Model Learning for Data-Driven MPC Design. IEEE Control. Syst. Lett. Dario Piga, Marco Forgione, Simone Formentin, Alberto Bemporad
2019	—	`conf`	Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering. ECC Dario Piga, Alessio Benavoli
2019	J	`jnl`	Sum-of-squares for bounded rationality. Int. J. Approx. Reason. Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon
2018	J	`jnl`	A bias-correction method for closed-loop identification of Linear Parameter-Varying systems. Autom. Manas Mejari, Dario Piga, Alberto Bemporad
2018	J	`jnl`	Direct Data-Driven Control of Constrained Systems. IEEE Trans. Control. Syst. Technol. Dario Piga, Simone Formentin, Alberto Bemporad
2018	—	`conf`	Energy Disaggregation using Piecewise Affine Regression and Binary Quadratic Programming. CDC Manas Mejari, Vihangkumar V. Naik, Dario Piga, Alberto Bemporad
2018	J	`jnl`	Fitting jump models. Autom. Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd
2018	—	`conf`	Prediction error methods in learning jump ARMAX models. CDC Valentina Breschi, Alberto Bemporad, Dario Piga, Stephen P. Boyd
2018	—	`conf`	Towards direct data-driven model-free design of optimal controllers. ECC Daniela Selvi, Dario Piga, Alberto Bemporad
2017	J	`jnl`	A Unified Framework for Deterministic and Probabilistic $\mathscr {D}$-Stability Analysis of Uncertain Polynomial Matrices. IEEE Trans. Autom. Control. Dario Piga, Alessio Benavoli
2017	J	`jnl`	Fitting Jump Models. CoRR Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd
2017	—	`conf`	Regularized moving-horizon piecewise affine regression using mixed-integer quadratic programming. MED Vihangkumar V. Naik, Manas Mejari, Dario Piga, Alberto Bemporad
2017	—	`conf`	SOS for Bounded Rationality. ISIPTA Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon
2016	J	`jnl`	A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding. Autom. Alessio Benavoli, Dario Piga
2016	J	`jnl`	Computation of the Structured Singular Value via Moment LMI Relaxations. IEEE Trans. Autom. Control. Dario Piga
2016	J	`jnl`	Direct learning of LPV controllers from data. Autom. Simone Formentin, Dario Piga, Roland Tóth, Sergio M. Savaresi
2016	—	`conf`	Identification of hybrid and linear parameter varying models via recursive piecewise affine regression and discrimination. ECC Valentina Breschi, Alberto Bemporad, Dario Piga
2016	—	`conf`	Learning hybrid models with logical and continuous dynamics via multiclass linear separation. CDC Valentina Breschi, Dario Piga, Alberto Bemporad
2016	J	`jnl`	Piecewise affine regression via recursive multiple least squares and multicategory discrimination. Autom. Valentina Breschi, Dario Piga, Alberto Bemporad
2016	—	`conf`	Regularized least square support vector machines for order and structure selection of LPV-ARX models. ECC Manas Mejari, Dario Piga, Alberto Bemporad
2016	J	`jnl`	Sparse Optimization for Automated Energy End Use Disaggregation. IEEE Trans. Control. Syst. Technol. Dario Piga, Andrea Cominola, Matteo Giuliani, Andrea Castelletti, Andrea Emilio Rizzoli
2015	J	`jnl`	A stochastic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding. CoRR Alessio Benavoli, Dario Piga
2015	J	`jnl`	An instrumental least squares support vector machine for nonlinear system identification. Autom. Vincent Laurain, Roland Tóth, Dario Piga, Wei Xing Zheng
2015	J	`jnl`	Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review. Environ. Model. Softw. Alessandro Cominola, Matteo Giuliani, Dario Piga, Andrea Castelletti, Andrea Emilio Rizzoli
2015	J	`jnl`	LPV system identification under noise corrupted scheduling and output signal observations. Autom. Dario Piga, Pepijn B. Cox, Roland Tóth, Vincent Laurain
2014	J	`jnl`	A Unified Framework for Solving a General Class of Conditional and Robust Set-Membership Estimation Problems. IEEE Trans. Autom. Control. Vito Cerone, Jean-Bernard Lasserre, Dario Piga, Diego Regruto
2014	J	`jnl`	A bias-corrected estimator for nonlinear systems with output-error type model structures. Autom. Dario Piga, Roland Tóth
2014	J	`jnl`	A unified framework for solving a general class of conditional and robust set-membership estimation problems. CoRR Vito Cerone, Jean-Bernard Lasserre, Dario Piga, Diego Regruto
2014	—	`conf`	Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification. CDC Rene Duijkers, Roland Tóth, Dario Piga, Vincent Laurain
2013	J	`jnl`	A convex relaxation approach to set-membership identification of LPV systems. Autom. Vito Cerone, Dario Piga, Diego Regruto
2013	J	`jnl`	An SDP approach for l Autom. Dario Piga, Roland Tóth
2013	J	`jnl`	Computational Load Reduction in Bounded Error Identification of Hammerstein Systems. IEEE Trans. Autom. Control. Vito Cerone, Dario Piga, Diego Regruto
2013	—	`conf`	Direct data-driven control of linear parameter-varying systems. CDC Simone Formentin, Dario Piga, Roland Tóth, Sergio M. Savaresi
2013	J	`jnl`	Fixed-order FIR approximation of linear systems from quantized input and output data. Syst. Control. Lett. Vito Cerone, Dario Piga, Diego Regruto
2013	—	`conf`	LPV model order selection in an LS-SVM setting. CDC Dario Piga, Roland Tóth
2012	—	`—`	A convex relaxation approach to set-membership identification. Dario Piga
2012	J	`jnl`	Bounded error identification of Hammerstein systems through sparse polynomial optimization. Autom. Vito Cerone, Dario Piga, Diego Regruto
2012	—	`conf`	Fixed order LPV controller design for LPV models in input-output form. CDC Vito Cerone, Dario Piga, Diego Regruto, Roland Tóth
2012	C	`conf`	Minimal LPV state-space realization driven set-membership identification. ACC Vito Cerone, Dario Piga, Diego Regruto, Roland Tóth
2012	—	`conf`	Polytopic outer approximations of semialgebraic sets. CDC Vito Cerone, Dario Piga, Diego Regruto
2012	C	`conf`	Robust pole placement for plants with semialgebraic parametric uncertainty. ACC Vito Cerone, Dario Piga, Diego Regruto
2012	J	`jnl`	Set-Membership Error-in-Variables Identification Through Convex Relaxation Techniques. IEEE Trans. Autom. Control. Vito Cerone, Dario Piga, Diego Regruto
2011	C	`conf`	Convex relaxation techniques for set-membership identification of LPV systems. ACC Vito Cerone, Dario Piga, Diego Regruto
2011	J	`jnl`	Enforcing stability constraints in set-membership identification of linear dynamic systems. Autom. Vito Cerone, Dario Piga, Diego Regruto
2011	—	`conf`	Fast implementation of model predictive control with guaranteed performance. CDC/ECC Massimo Canale, Vito Cerone, Dario Piga, Diego Regruto
2011	C	`conf`	Hammerstein systems parameters bounding through sparse polynomial optimization. ACC Vito Cerone, Dario Piga, Diego Regruto
2011	J	`jnl`	Set-membership LPV model identification of vehicle lateral dynamics. Autom. Vito Cerone, Dario Piga, Diego Regruto
2011	—	`conf`	Set-membership identification of Hammerstein-Wiener systems. CDC/ECC Vito Cerone, Dario Piga, Diego Regruto
2010	C	`conf`	Bounding the parameters of linear systems with stability constraints. ACC Vito Cerone, Dario Piga, Diego Regruto
2010	C	`conf`	Control as a key technology for a radical innovation in wind energy generation. ACC Mario Milanese, Lorenzo Fagiano, Dario Piga
2010	C	`conf`	Set-membership EIV identification through LMI relaxation techniques. ACC Vito Cerone, Dario Piga, Diego Regruto
2009	—	`conf`	Set-membership identification of block-structured nonlinear feedback systems. CDC Vito Cerone, Dario Piga, Diego Regruto