Giancarlo Ferrari-Trecate

Orcid: 0000-0002-9492-9624

According to our database1, Giancarlo Ferrari-Trecate authored at least 173 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Coverage Control-Based Idle Vehicle Rebalancing Approach for Autonomous Mobility-on-Demand Systems.
IEEE Trans. Control. Syst. Technol., September, 2024

Maximum likelihood inference for high-dimensional problems with multiaffine variable relations.
CoRR, 2024

Hierarchical Control for Vehicle Repositioning in Autonomous Mobility on Demand Systems.
CoRR, 2024

Learning to Boost the Performance of Stable Nonlinear Systems.
CoRR, 2024

Neural Exponential Stabilization of Control-affine Nonlinear Systems.
CoRR, 2024

A PAC-Bayesian Framework for Optimal Control with Stability Guarantees.
CoRR, 2024

Neural Distributed Controllers with Port-Hamiltonian Structures.
CoRR, 2024

Moving horizon partition-based state estimation of large-scale systems - Revised version.
CoRR, 2024

Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation.
CoRR, 2024

Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach.
CoRR, 2024

Stable Linear Subspace Identification: A Machine Learning Approach.
Proceedings of the European Control Conference, 2024

Unconstrained Learning of Networked Nonlinear Systems via Free Parametrization of Stable Interconnected Operators.
Proceedings of the European Control Conference, 2024

Closing the Gap to Quadratic Invariance: A Regret Minimization Approach to Optimal Distributed Control.
Proceedings of the European Control Conference, 2024

2023
Hamiltonian Deep Neural Networks Guaranteeing Nonvanishing Gradients by Design.
IEEE Trans. Autom. Control., May, 2023

Near-Optimal Design of Safe Output-Feedback Controllers From Noisy Data.
IEEE Trans. Autom. Control., May, 2023

Bayesian Error-in-Variables Models for the Identification of Distribution Grids.
IEEE Trans. Smart Grid, March, 2023

Optimal Adaptive Droop Design via a Modified Relaxation of the OPF.
IEEE Trans. Control. Syst. Technol., March, 2023

On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller.
IEEE Trans. Autom. Control., 2023

Robust Classification Using Contractive Hamiltonian Neural ODEs.
IEEE Control. Syst. Lett., 2023

Universal Approximation Property of Hamiltonian Deep Neural Networks.
IEEE Control. Syst. Lett., 2023

Homothetic Tube Model Predictive Control With Multi-Step Predictors.
IEEE Control. Syst. Lett., 2023

Regularization for Distributionally Robust State Estimation and Prediction.
IEEE Control. Syst. Lett., 2023

Distributionally Robust Infinite-horizon Control: from a pool of samples to the design of dependable controllers.
CoRR, 2023

SIMBa: System Identification Methods leveraging Backpropagation.
CoRR, 2023

Data-Driven Robust Control Using Prediction Error Bounds Based on Perturbation Analysis.
CoRR, 2023

On the Guarantees of Minimizing Regret in Receding Horizon.
CoRR, 2023

Regret Optimal Control for Uncertain Stochastic Systems.
CoRR, 2023

Safe Zeroth-Order Optimization Using Quadratic Local Approximations.
CoRR, 2023

Data-enabled Predictive Control for Empty Vehicle Rebalancing.
Proceedings of the European Control Conference, 2023

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations.
Proceedings of the European Control Conference, 2023

Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Safe Zeroth-Order Optimization Using Linear Programs.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
A Unified Passivity-Based Framework for Control of Modular Islanded AC Microgrids.
IEEE Trans. Control. Syst. Technol., 2022

Consensus-Based Current Sharing and Voltage Balancing in DC Microgrids With Exponential Loads.
IEEE Trans. Control. Syst. Technol., 2022

Identification of AC Distribution Networks With Recursive Least Squares and Optimal Design of Experiment.
IEEE Trans. Control. Syst. Technol., 2022

On Consensusability of Linear Interconnected Multiagent Systems and Simultaneous Stabilization.
IEEE Trans. Control. Netw. Syst., 2022

Data-Driven Unknown-Input Observers and State Estimation.
IEEE Control. Syst. Lett., 2022

Minimal regret state estimation of time-varying systems.
CoRR, 2022

Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control.
CoRR, 2022

Physically Consistent Neural ODEs for Learning Multi-Physics Systems.
CoRR, 2022

Maximum likelihood estimation of distribution grid topology and parameters from smart meter data.
CoRR, 2022

Safe Control with Minimal Regret.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Idle-vehicle Rebalancing Coverage Control for Ride-sourcing systems.
Proceedings of the European Control Conference, 2022

Finite-sample-based Spectral Radius Estimation and Stabilizability Test for Networked Control Systems.
Proceedings of the European Control Conference, 2022

Optimal control configuration in distribution network via an exact OPF relaxation method.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Robust online joint state/input/parameter estimation of linear systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Neural Energy Casimir Control for Port-Hamiltonian Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Hierarchical Control in Islanded DC Microgrids With Flexible Structures.
IEEE Trans. Control. Syst. Technol., 2021

Neural Energy Casimir Control.
CoRR, 2021

Bayesian Error-in-Variables Models for the Identification of Power Networks.
CoRR, 2021

Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design.
CoRR, 2021

Finite Sample Analysis of Spectral Radius Estimation and Its Applications to Networked Control Systems.
CoRR, 2021

Non-conservative Design of Robust Tracking Controllers Based on Input-output Data.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

A unified framework for Hamiltonian deep neural networks.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Bayesian Methods for the Identification of Distribution Networks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
A Distributed Cyber-Attack Detection Scheme With Application to DC Microgrids.
IEEE Trans. Autom. Control., 2020

On the Optimality and Convergence Properties of the Learning Model Predictive Controller.
CoRR, 2020

On Consensusability of Linear Interconnected Multi-Agent Systems and Simultaneous Stabilization.
CoRR, 2020

Supervised MPC control of large-scale electricity networks via clustering methods.
CoRR, 2020

Consensusability of linear interconnected multi-agent systems.
CoRR, 2020

Identification of AC Networks via Online Learning.
CoRR, 2020

A scalable, line-independent control design algorithm for voltage and frequency stabilization in AC islanded microgrids.
Autom., 2020

A passivity-based approach to voltage stabilization in DC microgrids with ZIP loads.
Autom., 2020

On Existence of Equilibria, Voltage Balancing, and Current Sharing in Consensus-Based DC Microgrids.
Proceedings of the 18th European Control Conference, 2020

2019
Approximate Kron Reduction Methods for Electrical Networks With Applications to Plug-and-Play Control of AC Islanded Microgrids.
IEEE Trans. Control. Syst. Technol., 2019

Distributed Fault Detection for Interconnected Large-Scale Systems: A Scalable Plug & Play Approach.
IEEE Trans. Control. Netw. Syst., 2019

Plug-and-Play Fault Detection and Isolation for Large-Scale Nonlinear Systems With Stochastic Uncertainties.
IEEE Trans. Autom. Control., 2019

Passivity-based Voltage and Frequency Stabilization in AC microgrids.
Proceedings of the 17th European Control Conference, 2019

A Supervisory Control Structure for Voltage-Controlled Islanded DC Microgrids.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Line-Independent Plug-and-Play Controllers for Voltage Stabilization in DC Microgrids.
IEEE Trans. Control. Syst. Technol., 2018

Distributed watermarking for secure control of microgrids under replay attacks.
CoRR, 2018

Stable current sharing and voltage balancing in DC microgrids: A consensus-based secondary control layer.
Autom., 2018

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids.
Proceedings of the 16th European Control Conference, 2018

Voltage Stabilization in MVDC Microgrids Using Passivity-Based Nonlinear Centrol* This work has received support from the Swiss National Science Foundation under the COFLEX project (grant number 200021-169906).
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Passivity-Based Approach to Voltage Stabilization in DC Microgrids.
Proceedings of the 2018 Annual American Control Conference, 2018

Plug-and-Play Voltage/Current Stabilization DC Microgrid Clusters with Grid-Forming/Feeding Converters.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Model Predictive Controllers for Reduction of Mechanical Fatigue in Wind Farms.
IEEE Trans. Control. Syst. Technol., 2017

A scalable line-independent design algorithm for voltage and frequency control in AC islanded microgrids.
CoRR, 2017

Plug-and-play and coordinated control for bus-connected AC islanded microgrids.
CoRR, 2017

Decentralized and distributed robust control invariance for constrained linear systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A distributed attack detection method for multi-agent systems governed by consensus-based control.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Plug-and-play design of current controllers for grid-feeding converters in DC microgrids.
Proceedings of the 11th Asian Control Conference, 2017

2016
A Decentralized Scalable Approach to Voltage Control of DC Islanded Microgrids.
IEEE Trans. Control. Syst. Technol., 2016

Plug-and-Play Fault Detection and Control-Reconfiguration for a Class of Nonlinear Large-Scale Constrained Systems.
IEEE Trans. Autom. Control., 2016

What Population Reveals about Individual Cell Identity: Single-Cell Parameter Estimation of Models of Gene Expression in Yeast.
PLoS Comput. Biol., 2016

Voltage stabilization in DC microgrids: an approach based on line-independent plug-and-play controllers.
CoRR, 2016

Consensus algorithms and plug-and-play control for current sharing in DC microgrids.
CoRR, 2016

Plug-and-play control of AC islanded microgrids with general topology.
Proceedings of the 15th European Control Conference, 2016

Voltage stabilization in DC microGrids through coupling-independent Plug-and-Play controllers.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Scalable monitoring of interconnected stochastic systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Plug-and-Play Voltage and Frequency Control of Islanded Microgrids With Meshed Topology.
IEEE Trans. Smart Grid, 2015

Distributed bounded-error state estimation based on practical robust positive invariance.
Int. J. Control, 2015

Plug-and-play state estimation and application to distributed output-feedback model predictive control.
Eur. J. Control, 2015

Kron reduction methods for plug-and-play control of ac islanded microgrids with arbitrary topology.
CoRR, 2015

Voltage control of DC islanded microgrids: A decentralized scalable approach.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Deterministic and stochastic MPC algorithms for minimizing mechanical stresses in wind farms.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Stochastic Fault Detection in a plug-and-play scenario.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Plug-and-play fault diagnosis and control-reconfiguration for a class of nonlinear large-scale constrained systems.
CoRR, 2014

Plug-and-play model predictive control based on robust control invariant sets.
Autom., 2014

Plug-and-play decentralized frequency regulation for power networks with FACTS devices.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

Voltage and frequency control of islanded microgrids: A plug-and-play approach.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

Fault Diagnosis and control-reconfiguration in Large-Scale Systems: a Plug-and-Play approach.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Plug-and-Play Decentralized Model Predictive Control for Linear Systems.
IEEE Trans. Autom. Control., 2013

A hybrid model predictive control scheme for containment and distributed sensing in multi-agent systems.
Syst. Control. Lett., 2013

Distributed bounded-error state estimation for partitioned systems based on practical robust positive invariance.
Proceedings of the 12th European Control Conference, 2013

Identification of biological models from single-cell data: A comparison between mixed-effects and moment-based inference.
Proceedings of the 12th European Control Conference, 2013

Plug and play distributed model predictive control based on distributed invariance and optimization.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Plug-and-play distributed state estimation for linear systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Design of plug-and-play model predictive control: An approach based on linear programming.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Hycon2 Benchmark: Power Network System
CoRR, 2012

Tube-based distributed control of linear constrained systems.
Autom., 2012

Plug-and-Play decentralized Model Predictive Control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2010
Distributed Moving Horizon Estimation for Linear Constrained Systems.
IEEE Trans. Autom. Control., 2010

Identification of genetic network dynamics with unate structure.
Bioinform., 2010

Partitioning datasets based on equalities among parameters.
Autom., 2010

Moving-horizon partition-based state estimation of large-scale systems.
Autom., 2010

Structural identification of unate-like genetic network models from time-lapse protein concentration measurements.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

State estimation for large-scale partitioned systems: a moving horizon approach.
Proceedings of the American Control Conference, 2010

2009
Model Predictive Control Schemes for Consensus in Multi-Agent Systems with Single- and Double-Integrator Dynamics.
IEEE Trans. Autom. Control., 2009

A hybrid model predictive control scheme for multi-agent containment and distributed sensing.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A moving horizon scheme for distributed state estimation.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Canalizing structure of genetic network dynamics: modelling and identification via mixed-integer programming.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Containment Control in Mobile Networks.
IEEE Trans. Autom. Control., 2008

The Switching Threshold Reconstruction Problem for Piecewise-Affine Models of Genetic Regulatory Networks.
IEEE Trans. Autom. Control., 2008

Subtilin Production by Bacillus Subtilis: Stochastic Hybrid Models and Parameter Identification.
IEEE Trans. Autom. Control., 2008

Structural Identification of Piecewise-Linear Models of Genetic Regulatory Networks.
J. Comput. Biol., 2008

Average consensus problems in networks of agents with delayed communications.
Autom., 2008

2007
Identification of Hybrid Systems: A Tutorial.
Eur. J. Control, 2007

Switch Detection in Genetic Regulatory Networks.
Proceedings of the Hybrid Systems: Computation and Control, 10th International Workshop, 2007

Control schemes based on the wave equation for consensus in multi-agent systems with double-integrator dynamics.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

A model predictive control scheme for consensus in multi-agent systems with single-integrator dynamics and input constraints.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

A general framework for the identification of jump Markov linear systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Parameter identification for stochastic hybrid models of biological interaction networks.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Analysis of coordination in multi-agent systems through partial difference equations.
IEEE Trans. Autom. Control., 2006

Consistent Sobolev regression via fuzzy systems with overlapping concepts.
Fuzzy Sets Syst., 2006

Laplacian Sheep: A Hybrid, Stop-Go Policy for Leader-Based Containment Control.
Proceedings of the Hybrid Systems: Computation and Control, 9th International Workshop, 2006

Reconstruction of Switching Thresholds in Piecewise-Affine Models of Genetic Regulatory Networks.
Proceedings of the Hybrid Systems: Computation and Control, 9th International Workshop, 2006

2005
Optimal Control for Real-Time Feedback Rate-Monotonic Schedulers.
Proceedings of the Computer and Information Sciences, 2005

Comparison of Four Procedures for the Identification of Hybrid Systems.
Proceedings of the Hybrid Systems: Computation and Control, 8th International Workshop, 2005

Computation of Observability Regions for Piecewise Affine Systems: A Projection-Based Algorithm.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Modeling and control of co-generation power plants: a hybrid system approach.
IEEE Trans. Control. Syst. Technol., 2004

2003
Regularization networks for inverse problems: A state-space approach.
Autom., 2003

A clustering technique for the identification of piecewise affine systems.
Autom., 2003

Conditions of Optimal Classification for Piecewise Affine Regression.
Proceedings of the Hybrid Systems: Computation and Control, 2003

Computation observability regions for discrete-time hybrid systems.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Identification of an Experimental Hybrid System<sup>1</sup>.
Proceedings of the IFAC Conference on Analysis and Design of Hybrid Systems, 2003

Single-Linkage Clustering for Optimal Classification in Piecewise Affine Regression.
Proceedings of the IFAC Conference on Analysis and Design of Hybrid Systems, 2003

Stability Analysis of Discrete-Time Switched Systems Through Lyapunov Functions with Nonminimal State.
Proceedings of the IFAC Conference on Analysis and Design of Hybrid Systems, 2003

2002
Moving horizon estimation for hybrid systems.
IEEE Trans. Autom. Control., 2002

Fuzzy systems with overlapping Gaussian concepts: Approximation properties in Sobolev norms.
Fuzzy Sets Syst., 2002

Analysis of discrete-time piecewise affine and hybrid systems.
Autom., 2002

A New Learning Method for Piecewise Linear Regression.
Proceedings of the Artificial Neural Networks, 2002

Analysis of Discrete-Time PWA Systems with Logic States.
Proceedings of the Hybrid Systems: Computation and Control, 5th International Workshop, 2002

2001
Regularization networks: fast weight calculation via Kalman filtering.
IEEE Trans. Neural Networks, 2001

A Learning Algorithm for Piecewise Linear Regression.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

Computing the equivalent number of parameters of fixed-interval smoothers.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Reconfiguration strategies for hybrid systems.
Proceedings of the American Control Conference, 2001

NARX models: optimal parametric approximation of nonparametric estimators.
Proceedings of the American Control Conference, 2001

Identification of piecewise affine and hybrid systems.
Proceedings of the American Control Conference, 2001

Analysis and control with performance of piecewise affine and hybrid systems.
Proceedings of the American Control Conference, 2001

2000
Observability and controllability of piecewise affine and hybrid systems.
IEEE Trans. Autom. Control., 2000

Fast spline smoothing via spectral factorization concepts.
Autom., 2000

Stability and stabilization of piecewise affine and hybrid systems: an LMI approach.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

A Kalman filtering algorithm for regularization networks.
Proceedings of the American Control Conference, 2000

1999
On the Wold decomposition of discrete-time cyclostationary processes.
IEEE Trans. Signal Process., 1999

Consistent identification of NARX models via regularization networks.
IEEE Trans. Autom. Control., 1999

Model predictive control - Ideas for the next generation.
Proceedings of the 5th European Control Conference, 1999

1998
Zeros of Continuous-time Linear Periodic Systems.
Autom., 1998

Finite-Dimensional Approximation of Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998


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