Damiano Varagnolo

Orcid: 0000-0002-4310-7938

According to our database1, Damiano Varagnolo authored at least 79 papers between 2008 and 2024.

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Bibliography

2024
The Hand Position Concept for Control of Underactuated Underwater Vehicles.
IEEE Trans. Control. Syst. Technol., November, 2024

Experimental assessment of a JANUS-based consensus protocol.
Comput. Networks, 2024

CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis.
IEEE Access, 2024

Sharing and Collaborating When Teaching Automatic Control: An Experience-Based Needs Analysis.
Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

Identification of a Dynamic Model of Pain and Fear Characteristics During Vaginal Dilation Exercises.
Proceedings of the European Control Conference, 2024

Hyperparameters Tuning in Regularized System Identification with Nonzero Prior Means.
Proceedings of the European Control Conference, 2024

A Distributed Optimization Approach for the Adaptation of Underwater Acoustic Communication Protocols.
Proceedings of the European Control Conference, 2024

Reinforcement Learning for Exploration vs. Exploitation Problems in Medical Exercise Sessions.
Proceedings of the Australian & New Zealand Control Conference, 2024

2023
Form Closure for Fully Actuated and Robust Obstacle-Aided Locomotion in Snake Robots.
IEEE Robotics Autom. Lett., November, 2023

Editorial: Multi-robot systems for space applications.
Frontiers Robotics AI, March, 2023

Improved Jacobian matrix estimation applied to snake robots.
Frontiers Robotics AI, March, 2023

A Dual Control Approach to Solve Exploration Versus Exploitation Trade-Offs in the Design of Personalized Physical Exercise Sessions.
IEEE Control. Syst. Lett., 2023

A Model Predictive Approach for Enhancing Transient Stability of Grid-Forming Converters.
CoRR, 2023

A CUSUM-Based Approach for the Dynamic Step-Size Selection Problem in Primal-Based Distributed Optimization Algorithms.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Novel Model for Link Dynamics in Planar Snake Robots Using Internal Constraint Force Sensing.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning.
Neural Networks, 2022

Singularity-free Formation Path Following of Underactuated AUVs: Extended Version.
CoRR, 2022

A JANUS-Based Consensus Protocol for Parametric Modulation Schemes.
Proceedings of the WUWNet 2022: The 16th International Conference on Underwater Networks & Systems, 2022

ASAN: An Extendable Approach for Automatic Step-sizes Adjustment for Newton-Raphson Consensus Optimization Algorithms.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

A receding-horizon estimation and control framework for the content sequencing problem.
Proceedings of the European Control Conference, 2022

Wienerization Based Control of Nonlinear Systems.
Proceedings of the European Control Conference, 2022

Wienerization of systems in nonlinear control canonical normal form.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Data-driven modeling of fatigue effects following repeated muscular contractions.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Controlled Direct Liquid Cooling of Data Servers.
IEEE Trans. Control. Syst. Technol., 2021

Calibrating Range Measurements of Lidars Using Fixed Landmarks in Unknown Positions.
Sensors, 2021

Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters.
Frontiers Robotics AI, 2021

Data dependent concurrent storage sizing and control design for frequency support in isolated power systems.
Proceedings of the 2021 European Control Conference, 2021

2020
Computer-aided curriculum analysis and design: existing challenges and open research directions.
Proceedings of the IEEE Frontiers in Education Conference, 2020

Analysing the effects of biofeedback using control-oriented formalisms: the case of gamified Kegel exercising.
Proceedings of the 18th European Control Conference, 2020

2019
Multiagent Newton-Raphson Optimization Over Lossy Networks.
IEEE Trans. Autom. Control., 2019

Distributed Multi-Agent Gaussian Regression via Finite-Dimensional Approximations.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Data-driven models of pelvic floor muscles dynamics subject to psychological and physiological stimuli.
IFAC J. Syst. Control., 2019

Techno-Economic Evaluation of the Sizing and Operation of Battery Storage for Isolated Oil and Gas Platforms with High Wind Power Penetration.
Proceedings of the IECON 2019, 2019

Lumped-parameters Control-oriented Gray-box Modelling of Liquid Immersion Cooling Systems.
Proceedings of the 17th European Control Conference, 2019

Courses-Concepts-Graphs as a Tool to Measure the Importance of Concepts in University Programmes.
Proceedings of the 17th European Control Conference, 2019

Data-driven modelling of fatigue in pelvic floor muscles when performing Kegel exercises.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Data-Driven Modelling of Subjective Pain/Pleasure Assessments As Responses to Vaginal Dilation Stimuli.
IEEE Control. Syst. Lett., 2018

Detecting and Modelling Air Flow Overprovisioning / Underprovisioning in Air-Cooled Datacenters.
Proceedings of the IECON 2018, 2018

Bayesian strategies for calibrating heteroskedastic static sensors with unknown model structures.
Proceedings of the 16th European Control Conference, 2018

2017
Distributed multi-agent Gaussian regression via Karhunen-Loève expansions.
CoRR, 2017

Monitoring and modelling open compute servers.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Statistical bounds for Gaussian regression algorithms based on Karhunen-Loève expansions.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Application-oriented input design for room occupancy estimation algorithms.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Newton-Raphson Consensus for Distributed Convex Optimization.
IEEE Trans. Autom. Control., 2016

Elbow joint angle estimation by using integrated surface electromyography.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

Statistical Modeling and Calibration of Triangulation Lidars.
Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2016), 2016

Modeling and Calibrating Triangulation Lidars for Indoor Applications.
Proceedings of the Informatics in Control, Automation and Robotics, 2016

A tight bound on the Bernoulli trials network size estimator.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Regularized Deconvolution-Based Approaches for Estimating Room Occupancies.
IEEE Trans Autom. Sci. Eng., 2015

Joint Temperature-Lasing Mode Compensation for Time-of-Flight LiDAR Sensors.
Sensors, 2015

Auto-tuning procedures for distributed nonparametric regression algorithms.
Proceedings of the 14th European Control Conference, 2015

Blind identification strategies for room occupancy estimation.
Proceedings of the 14th European Control Conference, 2015

Distributed quadratic programming under asynchronous and lossy communications via Newton-Raphson consensus.
Proceedings of the 14th European Control Conference, 2015

Network cardinality estimation using max consensus: The case of Bernoulli trials.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Multi-room occupancy estimation through adaptive gray-box models.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Analysis of Newton-Raphson consensus for multi-agent convex optimization under asynchronous and lossy communications.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Networks cardinality estimation using order statistics.
Proceedings of the American Control Conference, 2015

2014
Distributed Cardinality Estimation in Anonymous Networks.
IEEE Trans. Autom. Control., 2014

Control of HVAC systems via scenario-based explicit MPC.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Finding Potential Support Vectors in Separable Classification Problems.
IEEE Trans. Neural Networks Learn. Syst., 2013

Randomized Model Predictive Control for HVAC Systems.
Proceedings of the BuildSys 2013, 2013

Estimation of building occupancy levels through environmental signals deconvolution.
Proceedings of the BuildSys 2013, 2013

Distributed model-invariant detection of unknown inputs in networked systems.
Proceedings of the 2nd ACM International Conference on High Confidence Networked Systems (part of CPS Week), 2013

Parameter-invariant detection of unknown inputs in networked systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Fast distributed estimation of empirical mass functions over anonymous networks.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A scenario-based predictive control approach to building HVAC management systems.
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013

2012
Distributed parametric and nonparametric regression with on-line performance bounds computation.
Autom., 2012

The convergence rate of Newton-Raphson consensus optimization for quadratic cost functions.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Distributed size estimation of dynamic anonymous networks.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Bayesian learning of probability density functions: A Markov chain Monte Carlo approach.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Multidimensional Newton-Raphson consensus for distributed convex optimization.
Proceedings of the American Control Conference, 2012

Consensus based estimation of anonymous networks size using Bernoulli trials.
Proceedings of the American Control Conference, 2012

2011
On the discardability of data in support vector classification problems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Distributed statistical estimation of the number of nodes in sensor networks.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Optimal contracts for wind power producers in electricity markets.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Distributed consensus-based Bayesian estimation: sufficient conditions for performance characterization.
Proceedings of the American Control Conference, 2010

2009
Distributed function and time delay estimation using nonparametric techniques.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Performance analysis of different routing protocols in Wireless Sensor Networks for real-time estimation.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Distributed sensor calibration and least-square parameter identification in WSNs using consensus algorithms.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008


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