Set-membership identification of block-structured nonlinear feedback systems. - Vito Cerone; Dario Piga; Diego Regruto (CDC, 2009)

Bounding the parameters of linear systems with stability constraints. - Vito Cerone; Dario Piga; Diego Regruto (ACC, 2010)

Set-membership EIV identification through LMI relaxation techniques. - Vito Cerone; Dario Piga; Diego Regruto (ACC, 2010)

Control as a key technology for a radical innovation in wind energy generation. - Mario Milanese; Lorenzo Fagiano; Dario Piga (ACC, 2010)

Convex relaxation techniques for set-membership identification of LPV systems. - Vito Cerone; Dario Piga; Diego Regruto (ACC, 2011)

Hammerstein systems parameters bounding through sparse polynomial optimization. - Vito Cerone; Dario Piga; Diego Regruto (ACC, 2011)

Fast implementation of model predictive control with guaranteed performance. - Massimo Canale; Vito Cerone; Dario Piga; Diego Regruto (CDC/ECC, 2011)

Set-membership identification of Hammerstein-Wiener systems. - Vito Cerone; Dario Piga; Diego Regruto (CDC/ECC, 2011)

Set-membership LPV model identification of vehicle lateral dynamics. - Vito Cerone; Dario Piga; Diego Regruto (Autom., 2011)

Enforcing stability constraints in set-membership identification of linear dynamic systems. - Vito Cerone; Dario Piga; Diego Regruto (Autom., 2011)

Robust pole placement for plants with semialgebraic parametric uncertainty. - Vito Cerone; Dario Piga; Diego Regruto (ACC, 2012)

Minimal LPV state-space realization driven set-membership identification. - Vito Cerone; Dario Piga; Diego Regruto; Roland Tóth (ACC, 2012)

Polytopic outer approximations of semialgebraic sets. - Vito Cerone; Dario Piga; Diego Regruto (CDC, 2012)

Fixed order LPV controller design for LPV models in input-output form. - Vito Cerone; Dario Piga; Diego Regruto; Roland Tóth (CDC, 2012)

Bounded error identification of Hammerstein systems through sparse polynomial optimization. - Vito Cerone; Dario Piga; Diego Regruto (Autom., 2012)

Set-Membership Error-in-Variables Identification Through Convex Relaxation Techniques. - Vito Cerone; Dario Piga; Diego Regruto (IEEE Trans. Autom. Control., 2012)

A convex relaxation approach to set-membership identification. - Dario Piga (2012)

Direct data-driven control of linear parameter-varying systems. - Simone Formentin; Dario Piga; Roland Tóth; Sergio M. Savaresi (CDC, 2013)

LPV model order selection in an LS-SVM setting. - Dario Piga; Roland Tóth (CDC, 2013)

A convex relaxation approach to set-membership identification of LPV systems. - Vito Cerone; Dario Piga; Diego Regruto (Autom., 2013)

An SDP approach for l0-minimization: Application to ARX model segmentation. - Dario Piga; Roland Tóth (Autom., 2013)

Fixed-order FIR approximation of linear systems from quantized input and output data. - Vito Cerone; Dario Piga; Diego Regruto (Syst. Control. Lett., 2013)

Computational Load Reduction in Bounded Error Identification of Hammerstein Systems. - Vito Cerone; Dario Piga; Diego Regruto (IEEE Trans. Autom. Control., 2013)

Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification. - Rene Duijkers; Roland Tóth; Dario Piga; Vincent Laurain (CDC, 2014)

A bias-corrected estimator for nonlinear systems with output-error type model structures. - Dario Piga; Roland Tóth (Autom., 2014)

A Unified Framework for Solving a General Class of Conditional and Robust Set-Membership Estimation Problems. - Vito Cerone; Jean-Bernard Lasserre; Dario Piga; Diego Regruto (IEEE Trans. Autom. Control., 2014)

An instrumental least squares support vector machine for nonlinear system identification. - Vincent Laurain; Roland Tóth; Dario Piga; Wei Xing Zheng 001 (Autom., 2015)

LPV system identification under noise corrupted scheduling and output signal observations. - Dario Piga; Pepijn B. Cox; Roland Tóth; Vincent Laurain (Autom., 2015)

A stochastic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding. - Alessio Benavoli; Dario Piga (CoRR, 2015)

Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review. - Alessandro Cominola; Matteo Giuliani; Dario Piga; Andrea Castelletti; Andrea Emilio Rizzoli (Environ. Model. Softw., 2015)

Learning hybrid models with logical and continuous dynamics via multiclass linear separation. - Valentina Breschi; Dario Piga; Alberto Bemporad (CDC, 2016)

Identification of hybrid and linear parameter varying models via recursive piecewise affine regression and discrimination. - Valentina Breschi; Alberto Bemporad; Dario Piga (ECC, 2016)

Regularized least square support vector machines for order and structure selection of LPV-ARX models. - Manas Mejari; Dario Piga; Alberto Bemporad (ECC, 2016)

A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding. - Alessio Benavoli; Dario Piga (Autom., 2016)

Piecewise affine regression via recursive multiple least squares and multicategory discrimination. - Valentina Breschi; Dario Piga; Alberto Bemporad (Autom., 2016)

Direct learning of LPV controllers from data. - Simone Formentin; Dario Piga; Roland Tóth; Sergio M. Savaresi (Autom., 2016)

Computation of the Structured Singular Value via Moment LMI Relaxations. - Dario Piga (IEEE Trans. Autom. Control., 2016)

Sparse Optimization for Automated Energy End Use Disaggregation. - Dario Piga; Andrea Cominola; Matteo Giuliani; Andrea Castelletti; Andrea Emilio Rizzoli (IEEE Trans. Control. Syst. Technol., 2016)

SOS for Bounded Rationality. - Alessio Benavoli; Alessandro Facchini; Dario Piga; Marco Zaffalon (ISIPTA, 2017)

Regularized moving-horizon piecewise affine regression using mixed-integer quadratic programming. - Vihangkumar V. Naik; Manas Mejari; Dario Piga; Alberto Bemporad (MED, 2017)

A Unified Framework for Deterministic and Probabilistic $ mathscr {D}$-Stability Analysis of Uncertain Polynomial Matrices. - Dario Piga; Alessio Benavoli (IEEE Trans. Autom. Control., 2017)

Prediction error methods in learning jump ARMAX models. - Valentina Breschi; Alberto Bemporad; Dario Piga; Stephen P. Boyd (CDC, 2018)

Energy Disaggregation using Piecewise Affine Regression and Binary Quadratic Programming. - Manas Mejari; Vihangkumar V. Naik; Dario Piga; Alberto Bemporad (CDC, 2018)

Towards direct data-driven model-free design of optimal controllers. - Daniela Selvi; Dario Piga; Alberto Bemporad (ECC, 2018)

Fitting jump models. - Alberto Bemporad; Valentina Breschi; Dario Piga; Stephen P. Boyd (Autom., 2018)

A bias-correction method for closed-loop identification of Linear Parameter-Varying systems. - Manas Mejari; Dario Piga; Alberto Bemporad (Autom., 2018)

Direct Data-Driven Control of Constrained Systems. - Dario Piga; Simone Formentin; Alberto Bemporad (IEEE Trans. Control. Syst. Technol., 2018)

Maximum-a-posteriori estimation of jump Box-Jenkins models. - Valentina Breschi; Dario Piga; Alberto Bemporad (CDC, 2019)

Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation. - Manas Mejari; Dario Piga; Roland Tóth; Alberto Bemporad (ECC, 2019)

Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering. - Dario Piga; Alessio Benavoli (ECC, 2019)

Fostering the creation of a Digital Ecosystem by a distributed IEC-61499 based automation platform. - Andrea Barni; Alessandro Brusaferri; Franco Antonio Cavadini; Giuseppe Landolfi; Sandeep Patil; Dario Piga; Stefano Spinelli; Valeriy Vyatkin (INDIN, 2019)

Active preference learning based on radial basis functions. - Alberto Bemporad; Dario Piga (CoRR, 2019)

Efficient Calibration of Embedded MPC. - Marco Forgione; Dario Piga; Alberto Bemporad (CoRR, 2019)

Model structures and fitting criteria for system identification with neural networks. - Marco Forgione; Dario Piga (CoRR, 2019)

Performance-Oriented Model Learning for Data-Driven MPC Design. - Dario Piga; Marco Forgione; Simone Formentin; Alberto Bemporad (IEEE Control. Syst. Lett., 2019)

An optimisation-based energy disaggregation algorithm for low frequency smart meter data. - Cristina Rottondi; Marco Derboni; Dario Piga; Andrea Emilio Rizzoli (Energy Inform., 2019)

Sum-of-squares for bounded rationality. - Alessio Benavoli; Alessandro Facchini; Dario Piga; Marco Zaffalon (Int. J. Approx. Reason., 2019)

Interaction Force Computation Exploiting Environment Stiffness Estimation for Sensorless Robot Applications. - Loris Roveda; Dario Piga (MetroInd4.0&IoT, 2020)

Assembly Task Learning and Optimization through Human's Demonstration and Machine Learning. - Loris Roveda; Mauro Magni; Martina Cantoni; Dario Piga; Giuseppe Bucca (SMC, 2020)

Learning Continuous Control Actions for Robotic Grasping with Reinforcement Learning. - Asad Ali Shahid; Loris Roveda; Dario Piga; Francesco Braghin (SMC, 2020)

One-Stage Auto-Tuning Procedure of Robot Dynamics and Control Parameters for Trajectory Tracking Applications. - Loris Roveda; Marco Forgione; Dario Piga (UR, 2020)

Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification. - Vincent Laurain; Roland Tóth; Dario Piga; Mohamed Abdelmonim Hassan Darwish (Autom., 2020)

Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models. - Dario Piga; Alberto Bemporad; Alessio Benavoli (Autom., 2020)

Estimation of jump Box-Jenkins models. - Dario Piga; Valentina Breschi; Alberto Bemporad (Autom., 2020)

dynoNet: a neural network architecture for learning dynamical systems. - Marco Forgione; Dario Piga (CoRR, 2020)

Torque Vectoring for High-Performance Electric Vehicles: An Efficient MPC Calibration. - Alberto Lucchini; Simone Formentin; Matteo Corno; Dario Piga; Sergio M. Savaresi (IEEE Control. Syst. Lett., 2020)

Integrated Neural Networks for Nonlinear Continuous-Time System Identification. - Bojan Mavkov; Marco Forgione; Dario Piga (IEEE Control. Syst. Lett., 2020)

Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models. - Manas Mejari; Valentina Breschi; Dario Piga (IEEE Control. Syst. Lett., 2020)

Finite-horizon integration for continuous-time identification: bias analysis and application to variable stiffness actuators. - Dario Piga (Int. J. Control, 2020)

Robust state dependent Riccati equation variable impedance control for robotic force-tracking tasks. - Loris Roveda; Dario Piga (Int. J. Intell. Robotics Appl., 2020)

Skew Gaussian processes for classification. - Alessio Benavoli; Dario Azzimonti; Dario Piga (Mach. Learn., 2020)

Preference-based MPC calibration. - Mengjia Zhu; Alberto Bemporad; Dario Piga (ECC, 2021)

Preferential Bayesian optimisation with skew gaussian processes. - Alessio Benavoli; Dario Azzimonti; Dario Piga (GECCO Companion, 2021)

Enhancing Object Detection Performance Through Sensor Pose Definition with Bayesian Optimization. - Loris Roveda; Marco Maroni; Lorenzo Mazzuchelli; Loris Praolini; Giuseppe Bucca; Dario Piga (MetroInd4.0&IoT, 2021)

External Joint Torques Estimation for a Position-Controlled Manipulator Employing an Extended Kalman Filter. - Loris Roveda; Daniele Riva; Giuseppe Bucca; Dario Piga (UR, 2021)

Sensorless Optimal Switching Impact/Force Controller. - Loris Roveda; Daniele Riva; Giuseppe Bucca; Dario Piga (IEEE Access, 2021)

A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification. - Umberto Michelucci; Michela Sperti; Dario Piga; Francesca Venturini; Marco Agostino Deriu (Algorithms, 2021)

Sensorless environment stiffness and interaction force estimation for impedance control tuning in robotized interaction tasks. - Loris Roveda; Dario Piga (Auton. Robots, 2021)

Model structure selection for switched NARX system identification: A randomized approach. - Federico Bianchi 005; Valentina Breschi; Dario Piga; Luigi Piroddi (Autom., 2021)

Deep learning with transfer functions: new applications in system identification. - Dario Piga; Marco Forgione; Manas Mejari (CoRR, 2021)

Choice functions based multi-objective Bayesian optimisation. - Alessio Benavoli; Dario Azzimonti; Dario Piga (CoRR, 2021)

Continuous-time system identification with neural networks: Model structures and fitting criteria. - Marco Forgione; Dario Piga (Eur. J. Control, 2021)

Optimal direct data-driven control with stability guarantees. - Daniela Selvi; Dario Piga; Giorgio Battistelli; Alberto Bemporad (Eur. J. Control, 2021)

Global optimization based on active preference learning with radial basis functions. - Alberto Bemporad; Dario Piga (Mach. Learn., 2021)

A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. - Alessio Benavoli; Dario Azzimonti; Dario Piga (Mach. Learn., 2021)

Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks. - Loris Roveda; Beatrice Maggioni; Elia Marescotti; Asad Ali Shahid; Andrea Maria Zanchettin; Alberto Bemporad; Dario Piga (IEEE Robotics Autom. Lett., 2021)

Human-robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization. - Loris Roveda; Mauro Magni; Martina Cantoni; Dario Piga; Giuseppe Bucca (Robotics Auton. Syst., 2021)

Visual Servoing with Geometrically Interpretable Neural Perception. - Antonio Paolillo; Mirko Nava; Dario Piga; Alessandro Giusti (IROS, 2022)

Q-Learning-based model predictive variable impedance control for physical human-robot collaboration. - Loris Roveda; Andrea Testa; Asad Ali Shahid; Francesco Braghin; Dario Piga (Artif. Intell., 2022)

Continuous control actions learning and adaptation for robotic manipulation through reinforcement learning. - Asad Ali Shahid; Dario Piga; Francesco Braghin; Loris Roveda (Auton. Robots, 2022)

Direct identification of continuous-time LPV state-space models via an integral architecture. - Manas Mejari; Bojan Mavkov; Marco Forgione; Dario Piga (Autom., 2022)

Learning neural state-space models: do we need a state estimator? - Marco Forgione; Manas Mejari; Dario Piga (CoRR, 2022)

Direct identification of continuous-time linear switched state-space models. - Manas Mejari; Dario Piga (CoRR, 2022)

Active preference-based optimization for human-in-the-loop feature selection. - Federico Bianchi 005; Luigi Piroddi; Alberto Bemporad; Geza Halasz; Matteo Villani; Dario Piga (Eur. J. Control, 2022)

Robot End-Effector Mounted Camera Pose Optimization in Object Detection-Based Tasks. - Loris Roveda; Marco Maroni; Lorenzo Mazzuchelli; Loris Praolini; Asad Ali Shahid; Giuseppe Bucca; Dario Piga (J. Intell. Robotic Syst., 2022)

Learning Dynamical Systems From Quantized Observations: A Bayesian Perspective. - Dario Piga; Manas Mejari; Marco Forgione (IEEE Trans. Autom. Control., 2022)

Sensorless Optimal Interaction Control Exploiting Environment Stiffness Estimation. - Loris Roveda; Asad Ali Shahid; Niccolò Iannacci; Dario Piga (IEEE Trans. Control. Syst. Technol., 2022)

C-GLISp: Preference-Based Global Optimization Under Unknown Constraints With Applications to Controller Calibration. - Mengjia Zhu; Dario Piga; Alberto Bemporad (IEEE Trans. Control. Syst. Technol., 2022)

Bayesian Optimization For Choice Data. - Alessio Benavoli; Dario Azzimonti; Dario Piga (GECCO Companion, 2023)

Self-Modulated Adaptive Robotic Deposition: an Application to the Aerospace Industry. - Marco Maccarini; Asad Ali Shahid; Dario Piga; Loris Roveda (ICECET, 2023)

Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract). - Loris Roveda; Andrea Testa; Asad Ali Shahid; Francesco Braghin; Dario Piga (IJCAI, 2023)

Learning Choice Functions with Gaussian Processes. - Alessio Benavoli; Dario Azzimonti; Dario Piga (UAI, 2023)

Computation of parameter dependent robust invariant sets for LPV models with guaranteed performance. - Ankit Gupta 005; Manas Mejari; Paolo Falcone; Dario Piga (Autom., 2023)

Experience in Engineering Complex Systems: Active Preference Learning with Multiple Outcomes and Certainty Levels. - 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 (CoRR, 2023)

Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification. - Marco Forgione; Dario Piga (CoRR, 2023)

In-context learning for model-free system identification. - Marco Forgione; Filippo Pura; Dario Piga (CoRR, 2023)

Split-Boost Neural Networks. - Raffaele Giuseppe Cestari; Gabriele Maroni; Loris Cannelli; Dario Piga; Simone Formentin (CoRR, 2023)

Shedding Light on the Ageing of Extra Virgin Olive Oil: Probing the Impact of Temperature with Fluorescence Spectroscopy and Machine Learning Techniques. - Francesca Venturini; Silvan Fluri; Manas Mejari; Michael Baumgartner 002; Dario Piga; Umberto Michelucci (CoRR, 2023)

On the adaptation of in-context learners for system identification. - Dario Piga; Filippo Pura; Marco Forgione (CoRR, 2023)

In-context learning of state estimators. - Riccardo Busetto; Valentina Breschi; Marco Forgione; Dario Piga; Simone Formentin (CoRR, 2023)

Multi-Agent Active Learning for Distributed Black-Box Optimization. - Loris Cannelli; Mengjia Zhu; Francesco Farina; Alberto Bemporad; Dario Piga (IEEE Control. Syst. Lett., 2023)

From System Models to Class Models: An In-Context Learning Paradigm. - Marco Forgione; Filippo Pura; Dario Piga (IEEE Control. Syst. Lett., 2023)

Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems. - Manas Mejari; Ankit Gupta 005; Dario Piga (IEEE Control. Syst. Lett., 2023)

On the adaptation of recurrent neural networks for system identification. - Marco Forgione; Aneri Muni; Dario Piga; Marco Gallieri (Autom., 2023)

Model order reduction of deep structured state-space models: A system-theoretic approach. - Marco Forgione; Manas Mejari; Dario Piga (CDC, 2024)

Synthetic data generation for system identification: leveraging knowledge transfer from similar systems. - Dario Piga; Matteo Rufolo; Gabriele Maroni; Manas Mejari; Marco Forgione (CDC, 2024)

PROPHET: PReference-Based OPtimization for Human-cEnTric Visual Inspection. - Marco Maccarini; Alberto Gottardi; Dario Piga; Loris Roveda (ERF (2), 2024)

RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. - Manuel Bianchi Bazzi; Asad Ali Shahid; Christopher Agia; John Irvin Alora; Marco Forgione; Dario Piga; Francesco Braghin; Marco Pavone 001; Loris Roveda (ICINCO (2), 2024)

BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery. - Loddo Fabio; Dario Piga; Umberto Michelucci; Safouane El Ghazouali (CoRR, 2024)

LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides. - Gabriele Maroni; Filip Stojceski; Lorenzo Pallante; Marco Agostino Deriu; Dario Piga; Gianvito Grasso (CoRR, 2024)

Enhanced Transformer architecture for in-context learning of dynamical systems. - Matteo Rufolo; Dario Piga; Gabriele Maroni; Marco Forgione (CoRR, 2024)

Integrating Reinforcement Learning with Foundation Models for Autonomous Robotics: Methods and Perspectives. - Angelo Moroncelli; Vishal Soni; Asad Ali Shahid; Marco Maccarini; Marco Forgione; Dario Piga; Blerina Spahiu; Loris Roveda (CoRR, 2024)

Bias correction and instrumental variables for direct data-driven model-reference control. - Manas Mejari; Valentina Breschi; Simone Formentin; Dario Piga (CoRR, 2024)

One controller to rule them all. - Riccardo Busetto; Valentina Breschi; Marco Forgione; Dario Piga; Simone Formentin (CoRR, 2024)

Distributionally Robust Minimization in Meta-Learning for System Identification. - Matteo Rufolo; Dario Piga; Marco Forgione (IEEE Control. Syst. Lett., 2025)

Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus. - Gabriele Maroni; Loris Cannelli; Dario Piga (Eur. J. Control, 2025)

dynoGP: Deep Gaussian Processes for dynamic system identification. - Alessio Benavoli; Dario Piga; Marco Forgione; Marco Zaffalon (CoRR, 2025)

In-Context Learning for Zero-Shot Speed Estimation of BLDC motors. - Alessandro Colombo; Riccardo Busetto; Valentina Breschi; Marco Forgione; Dario Piga; Simone Formentin (CoRR, 2025)

Manifold meta-learning for reduced-complexity neural system identification. - Marco Forgione; Ankush Chakrabarty; Dario Piga; Matteo Rufolo; Alberto Bemporad (CoRR, 2025)

Learning Low-Dimensional Embeddings for Black-Box Optimization. - Riccardo Busetto; Manas Mejari; Marco Forgione; Alberto Bemporad; Dario Piga (CoRR, 2025)