Giovanni Russo

Orcid: 0000-0001-5001-3027

Affiliations:
  • University of Salerno, Department of Information and Electrical Engineering and Applied Mathematics, Italy
  • IBM Research, Control and Optimization Group, Dublin, Ireland (former)
  • University of Naples Federico II, Italy (PhD 2010)


According to our database1, Giovanni Russo authored at least 73 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning.
IEEE Trans. Control. Syst. Technol., November, 2024

On Weakly Contracting Dynamics for Convex Optimization.
IEEE Control. Syst. Lett., 2024

Modeling and contractivity of neural-synaptic networks with Hebbian learning.
Autom., 2024

In vivo learning-based control of microbial populations density in bioreactors.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023
Optimal Decision-Making for Autonomous Agents via Data Composition.
IEEE Control. Syst. Lett., 2023

Euclidean Contractivity of Neural Networks With Symmetric Weights.
IEEE Control. Syst. Lett., 2023

Positive Competitive Networks for Sparse Reconstruction.
CoRR, 2023

On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems.
CoRR, 2023

Contracting Dynamics for Time-Varying Convex Optimization.
CoRR, 2023

Inverse Data-Driven Optimal Control for Nonlinear Stochastic Non-stationary Systems.
CoRR, 2023

CT-DQN: Control-Tutored Deep Reinforcement Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2023

External control of a genetic toggle switch via Reinforcement Learning.
Proceedings of the European Control Conference, 2023

On a Probabilistic Approach for Inverse Data-Driven Optimal Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

On the design of multiplex control to reject disturbances in nonlinear network systems affected by heterogeneous delays.
Proceedings of the American Control Conference, 2023

2022
Erratum to "A Contraction Approach to the Hierarchical Analysis and Design of Networked Systems".
IEEE Trans. Autom. Control., 2022

On the Design of Autonomous Agents From Multiple Data Sources.
IEEE Control. Syst. Lett., 2022

On the Design of Integral Multiplex Control Protocols for Nonlinear Network Systems with Delays.
CoRR, 2022

A smart electric bike for smart cities.
CoRR, 2022

On the design of scalable networks to reject polynomial disturbances.
CoRR, 2022

Pitchfork-bifurcation-based competitive and collaborative control of an E-bike system.
Autom., 2022

On a probabilistic approach to synthesize control policies from example datasets.
Autom., 2022

Probabilistic design of optimal sequential decision-making algorithms in learning and control.
Annu. Rev. Control., 2022

Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Contraction Analysis of Hopfield Neural Networks with Hebbian Learning.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Scalability in Nonlinear Network Systems Affected by Delays and Disturbances.
IEEE Trans. Control. Netw. Syst., 2021

On the Crowdsourcing of Behaviors for Autonomous Agents.
IEEE Control. Syst. Lett., 2021

Tutoring Reinforcement Learning via Feedback Control.
Proceedings of the 2021 European Control Conference, 2021

Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
On the synthesis of control policies from noisy example datasets: a probabilistic approach.
CoRR, 2020

Driving Reinforcement Learning with Models.
Proceedings of the Intelligent Systems and Applications, 2020

2019
A Context-Aware E-Bike System to Reduce Pollution Inhalation While Cycling.
IEEE Trans. Intell. Transp. Syst., 2019

Pinning Controllability of Complex Network Systems With Noise.
IEEE Trans. Control. Netw. Syst., 2019

On Synchronization in Continuous-Time Networks of Nonlinear Nodes With State-Dependent and Degenerate Noise Diffusion.
IEEE Trans. Autom. Control., 2019

Node-to-Node and Node-to-Medium Synchronization in Quorum Sensing Networks Affected by State-Dependent Noise.
SIAM J. Appl. Dyn. Syst., 2019

Control-Tutored Reinforcement Learning.
CoRR, 2019

Control-Tutored Reinforcement Learning: an application to the Herding Problem.
CoRR, 2019

On L∞ string stability of nonlinear bidirectional asymmetric heterogeneous platoon systems.
Autom., 2019

Resilient consensus for multi-agent systems subject to differential privacy requirements.
Autom., 2019

Ad-hocChain: Cooperative Sharing and Trading Infrastructure for Electric Vehicle Charging Networks.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

On robust stability of fully probabilistic control with respect to data-driven model uncertainties.
Proceedings of the 17th European Control Conference, 2019

On the coexistence of human-driven and automated vehicles within platoon systems.
Proceedings of the 17th European Control Conference, 2019

Resilient and private consensus in multi-agent systems.
Proceedings of the 17th European Control Conference, 2019

On the design of cyber-physical control system for a smart pedelec (Ebike).
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Coppel's inequality for linear systems on time scales.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Pedestrian-Aware Engine Management Strategies for Plug-In Hybrid Electric Vehicles.
IEEE Trans. Intell. Transp. Syst., 2018

Leader and Leaderless Multi-Layer Consensus With State Obfuscation: An Application to Distributed Speed Advisory Systems.
IEEE Trans. Intell. Transp. Syst., 2018

Stabilizing Quorum-Sensing Networks via Noise.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

On the design of a decision engine for connected vehicles with an application to congestion management.
CoRR, 2018

On L<sub>∞</sub> string stability of asymmetrically coupled bidirectional heterogeneous platoon systems.
CoRR, 2018

Context-Based Cyclist Intelligent Support: An Approach to e-Bike Control Based on Smartphone Sensors.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2018

On the identification of biochemical systems from intermittent and noisy data.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
On the Design of Nonlinear Distributed Control Protocols for Platooning Systems.
IEEE Control. Syst. Lett., 2017

Exploiting Nodes Symmetries to Control Synchronization and Consensus Patterns in Multiagent Systems.
IEEE Control. Syst. Lett., 2017

Cyberphysics, pollution mitigation, and pedelecs.
CoRR, 2017

A modular intersection controller with adaptive stage selection and duration algorithms.
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

A hidden Markov model for route and destination prediction.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016
On noise-induced synchronization and consensus of nonlinear network systems under input disturbances.
CoRR, 2016

On synchronization and consensus patterns in complex networks: from analysis to control.
CoRR, 2016

On the design of a route parsing engine for connected vehicles with applications to congestion management systems.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Consensus with state obfuscation: an application to speed advisory systems.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2014
Correction to Section V-B of "Contraction Theory and the Master Stability Function: Linking Two Approaches to Study Synchronization in Complex Networks".
IEEE Trans. Circuits Syst. II Express Briefs, 2014

Contraction Analysis for a Class of NonDifferentiable Systems with Applications to Stability and Network Synchronization.
SIAM J. Control. Optim., 2014

2013
A Contraction Approach to the Hierarchical Analysis and Design of Networked Systems.
IEEE Trans. Autom. Control., 2013

Convergence and cluster synchronization in networks of discrete-time and asynchronous systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2011
A Graphical Approach to Prove Contraction of Nonlinear Circuits and Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2011

On QUAD, Lipschitz, and Contracting Vector Fields for Consensus and Synchronization of Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2011

2010
Analysis, Control and Synchronization of nonlinear systems and networks via Contraction Theory: theory and applications.
PhD thesis, 2010

Global Entrainment of Transcriptional Systems to Periodic Inputs.
PLoS Comput. Biol., 2010

Stability of networked systems: A multi-scale approach using contraction.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Contraction Theory and Master Stability Function: Linking Two Approaches to Study Synchronization of Complex Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2009

How to Synchronize Biological Clocks.
J. Comput. Biol., 2009

An Algorithm for the Construction of Synthetic Self Synchronizing Biological Circuits.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

Solving the rendezvous problem for multi-agent systems using contraction theory.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


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