Dario Piga
Orcid: 0000-0001-7691-4886
According to our database1,
Dario Piga
authored at least 117 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Model order reduction of deep structured state-space models: A system-theoretic approach.
CoRR, 2024
Synthetic data generation for system identification: leveraging knowledge transfer from similar systems.
CoRR, 2024
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery.
CoRR, 2024
2023
Autom., September, 2023
Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems.
IEEE Control. Syst. Lett., 2023
IEEE Control. Syst. Lett., 2023
IEEE Control. Syst. Lett., 2023
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus.
CoRR, 2023
Shedding Light on the Ageing of Extra Virgin Olive Oil: Probing the Impact of Temperature with Fluorescence Spectroscopy and Machine Learning Techniques.
CoRR, 2023
CoRR, 2023
Experience in Engineering Complex Systems: Active Preference Learning with Multiple Outcomes and Certainty Levels.
CoRR, 2023
Computation of parameter dependent robust invariant sets for LPV models with guaranteed performance.
Autom., 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
C-GLISp: Preference-Based Global Optimization Under Unknown Constraints With Applications to Controller Calibration.
IEEE Trans. Control. Syst. Technol., 2022
IEEE Trans. Control. Syst. Technol., 2022
IEEE Trans. Autom. Control., 2022
J. Intell. Robotic Syst., 2022
Eur. J. Control, 2022
CoRR, 2022
Direct identification of continuous-time LPV state-space models via an integral architecture.
Autom., 2022
Continuous control actions learning and adaptation for robotic manipulation through reinforcement learning.
Auton. Robots, 2022
Q-Learning-based model predictive variable impedance control for physical human-robot collaboration.
Artif. Intell., 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
Human-robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization.
Robotics Auton. Syst., 2021
Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks.
IEEE Robotics Autom. Lett., 2021
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes.
Mach. Learn., 2021
Mach. Learn., 2021
Continuous-time system identification with neural networks: Model structures and fitting criteria.
Eur. J. Control, 2021
CoRR, 2021
Model structure selection for switched NARX system identification: A randomized approach.
Autom., 2021
Sensorless environment stiffness and interaction force estimation for impedance control tuning in robotized interaction tasks.
Auton. Robots, 2021
Algorithms, 2021
External Joint Torques Estimation for a Position-Controlled Manipulator Employing an Extended Kalman Filter.
Proceedings of the 18th International Conference on Ubiquitous Robots, 2021
Enhancing Object Detection Performance Through Sensor Pose Definition with Bayesian Optimization.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the 2021 European Control Conference, 2021
2020
Robust state dependent Riccati equation variable impedance control for robotic force-tracking tasks.
Int. J. Intell. Robotics Appl., 2020
Finite-horizon integration for continuous-time identification: bias analysis and application to variable stiffness actuators.
Int. J. Control, 2020
Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models.
IEEE Control. Syst. Lett., 2020
IEEE Control. Syst. Lett., 2020
Torque Vectoring for High-Performance Electric Vehicles: An Efficient MPC Calibration.
IEEE Control. Syst. Lett., 2020
Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models.
Autom., 2020
Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification.
Autom., 2020
One-Stage Auto-Tuning Procedure of Robot Dynamics and Control Parameters for Trajectory Tracking Applications.
Proceedings of the 17th International Conference on Ubiquitous Robots, 2020
Learning Continuous Control Actions for Robotic Grasping with Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Assembly Task Learning and Optimization through Human's Demonstration and Machine Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Interaction Force Computation Exploiting Environment Stiffness Estimation for Sensorless Robot Applications.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020
2019
An optimisation-based energy disaggregation algorithm for low frequency smart meter data.
Energy Inform., 2019
IEEE Control. Syst. Lett., 2019
Model structures and fitting criteria for system identification with neural networks.
CoRR, 2019
Fostering the creation of a Digital Ecosystem by a distributed IEC-61499 based automation platform.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 17th European Control Conference, 2019
Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation.
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
IEEE Trans. Control. Syst. Technol., 2018
A bias-correction method for closed-loop identification of Linear Parameter-Varying systems.
Autom., 2018
Proceedings of the 16th European Control Conference, 2018
Energy Disaggregation using Piecewise Affine Regression and Binary Quadratic Programming.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
A Unified Framework for Deterministic and Probabilistic $\mathscr {D}$-Stability Analysis of Uncertain Polynomial Matrices.
IEEE Trans. Autom. Control., 2017
Regularized moving-horizon piecewise affine regression using mixed-integer quadratic programming.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017
2016
IEEE Trans. Control. Syst. Technol., 2016
IEEE Trans. Autom. Control., 2016
Piecewise affine regression via recursive multiple least squares and multicategory discrimination.
Autom., 2016
A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding.
Autom., 2016
Regularized least square support vector machines for order and structure selection of LPV-ARX models.
Proceedings of the 15th European Control Conference, 2016
Identification of hybrid and linear parameter varying models via recursive piecewise affine regression and discrimination.
Proceedings of the 15th European Control Conference, 2016
Learning hybrid models with logical and continuous dynamics via multiclass linear separation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review.
Environ. Model. Softw., 2015
A stochastic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding.
CoRR, 2015
LPV system identification under noise corrupted scheduling and output signal observations.
Autom., 2015
An instrumental least squares support vector machine for nonlinear system identification.
Autom., 2015
2014
A Unified Framework for Solving a General Class of Conditional and Robust Set-Membership Estimation Problems.
IEEE Trans. Autom. Control., 2014
A bias-corrected estimator for nonlinear systems with output-error type model structures.
Autom., 2014
Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
IEEE Trans. Autom. Control., 2013
Fixed-order FIR approximation of linear systems from quantized input and output data.
Syst. Control. Lett., 2013
An SDP approach for l<sub>0</sub>-minimization: Application to ARX model segmentation.
Autom., 2013
Autom., 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Set-Membership Error-in-Variables Identification Through Convex Relaxation Techniques.
IEEE Trans. Autom. Control., 2012
Bounded error identification of Hammerstein systems through sparse polynomial optimization.
Autom., 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the American Control Conference, 2012
Proceedings of the American Control Conference, 2012
2011
Enforcing stability constraints in set-membership identification of linear dynamic systems.
Autom., 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the American Control Conference, 2011
Proceedings of the American Control Conference, 2011
2010
Proceedings of the American Control Conference, 2010
Proceedings of the American Control Conference, 2010
Proceedings of the American Control Conference, 2010
2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009