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ORCIDGiovanni Russo 0002
Person information
- affiliation: University of Salerno, Department of Information and Electrical Engineering and Applied Mathematics, Italy
- affiliation (former): IBM Research, Control and Optimization Group, Dublin, Ireland
- affiliation (PhD 2010): University of Naples Federico II, Italy
Other persons with the same name
- Giovanni Russo — disambiguation page
- Giovanni Russo 0001
![[0000-0003-4215-1926]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4215-1926")
— University of Catania, Italy
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2020 – today
- 2024
[j31]Veronica Centorrino, Francesco Bullo, Giovanni Russo:
Modeling and contractivity of neural-synaptic networks with Hebbian learning. Autom. 164: 111636 (2024)- [j30]Veronica Centorrino, Alexander Davydov, Anand Gokhale, Giovanni Russo, Francesco Bullo:
On Weakly Contracting Dynamics for Convex Optimization. IEEE Control. Syst. Lett. 8: 1745-1750 (2024) - [j29]Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning. IEEE Trans. Control. Syst. Technol. 32(6): 2102-2113 (2024) - [c27]Sara Maria Brancato, Davide Salzano, Francesco De Lellis, Davide Fiore, Giovanni Russo, Mario di Bernardo:
In vivo learning-based control of microbial populations density in bioreactors. L4DC 2024: 941-953 - 2023
- [j28]Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo:
Euclidean Contractivity of Neural Networks With Symmetric Weights. IEEE Control. Syst. Lett. 7: 1724-1729 (2023) - [j27]Émiland Garrabé, Martina Lamberti, Giovanni Russo:
Optimal Decision-Making for Autonomous Agents via Data Composition. IEEE Control. Syst. Lett. 7: 2557-2562 (2023) - [c26]Shihao Xie, Giovanni Russo:
On the design of multiplex control to reject disturbances in nonlinear network systems affected by heterogeneous delays. ACC 2023: 240-245 - [c25]Émiland Garrabé, Hozefa Jesawada, Carmen Del Vecchio, Giovanni Russo:
On a Probabilistic Approach for Inverse Data-Driven Optimal Control. CDC 2023: 4411-4416 - [c24]Sara Maria Brancato, Francesco De Lellis, Davide Salzano, Giovanni Russo, Mario di Bernardo:
External control of a genetic toggle switch via Reinforcement Learning. ECC 2023: 1-6 - [c23]Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
CT-DQN: Control-Tutored Deep Reinforcement Learning. L4DC 2023: 941-953 - [i29]Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo:
Euclidean Contractivity of Neural Networks with Symmetric Weights. CoRR abs/2302.13452 (2023) - [i28]Émiland Garrabé, Hozefa Jesawada, Carmen Del Vecchio, Giovanni Russo:
Inverse Data-Driven Optimal Control for Nonlinear Stochastic Non-stationary Systems. CoRR abs/2303.17957 (2023) - [i27]Alexander Davydov, Veronica Centorrino, Anand Gokhale, Giovanni Russo, Francesco Bullo:
Contracting Dynamics for Time-Varying Convex Optimization. CoRR abs/2305.15595 (2023) - [i26]Émiland Garrabé, Hozefa Jesawada, Carmen Del Vecchio, Giovanni Russo:
On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems. CoRR abs/2306.13928 (2023) - [i25]Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo:
Positive Competitive Networks for Sparse Reconstruction. CoRR abs/2311.03821 (2023) - [i24]Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning. CoRR abs/2311.10026 (2023) - [i23]Sara Maria Brancato, Davide Salzano, Francesco De Lellis, Davide Fiore, Giovanni Russo, Mario di Bernardo:
In vivo learning-based control of microbial populations density in bioreactors. CoRR abs/2312.09773 (2023) - 2022
- [j26]Émiland Garrabé, Giovanni Russo:
Probabilistic design of optimal sequential decision-making algorithms in learning and control. Annu. Rev. Control. 54: 81-102 (2022) - [j25]Davide Gagliardi, Giovanni Russo:
On a probabilistic approach to synthesize control policies from example datasets. Autom. 137: 110121 (2022) - [j24]Shaun Sweeney, Hugo Lhachemi, Andrew Mannion, Giovanni Russo, Robert Shorten:
Pitchfork-bifurcation-based competitive and collaborative control of an E-bike system. Autom. 146: 110595 (2022) - [j23]Émiland Garrabé, Giovanni Russo:
On the Design of Autonomous Agents From Multiple Data Sources. IEEE Control. Syst. Lett. 6: 698-703 (2022) - [j22]Giovanni Russo, Mario di Bernardo, Eduardo D. Sontag:
Erratum to "A Contraction Approach to the Hierarchical Analysis and Design of Networked Systems". IEEE Trans. Autom. Control. 67(8): 4384 (2022) - [c22]Veronica Centorrino, Francesco Bullo, Giovanni Russo:
Contraction Analysis of Hopfield Neural Networks with Hebbian Learning. CDC 2022: 622-627 - [c21]Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. L4DC 2022: 1048-1059 - [i22]Émiland Garrabé, Giovanni Russo:
Probabilistic design of optimal sequential decision-making algorithms in learning and control. CoRR abs/2201.05212 (2022) - [i21]Shihao Xie, Giovanni Russo:
On the design of scalable networks to reject polynomial disturbances. CoRR abs/2202.07638 (2022) - [i20]Shaun Sweeney, Robert Shorten, David Timoney, Giovanni Russo, Francesco Pilla:
A smart electric bike for smart cities. CoRR abs/2203.06679 (2022) - [i19]Sara Maria Brancato, Francesco De Lellis, Davide Salzano, Giovanni Russo, Mario di Bernardo:
External control of a genetic toggle switch via Reinforcement Learning. CoRR abs/2204.04972 (2022) - [i18]Shihao Xie, Giovanni Russo:
On the Design of Integral Multiplex Control Protocols for Nonlinear Network Systems with Delays. CoRR abs/2206.03535 (2022) - [i17]Shihao Xie, Giovanni Russo:
On the design of multiplex control to reject disturbances in nonlinear network systems affected by heterogeneous delays. CoRR abs/2209.08993 (2022) - 2021
- [j21]Giovanni Russo:
On the Crowdsourcing of Behaviors for Autonomous Agents. IEEE Control. Syst. Lett. 5(4): 1321-1326 (2021) - [j20]Shihao Xie, Giovanni Russo, Richard H. Middleton:
Scalability in Nonlinear Network Systems Affected by Delays and Disturbances. IEEE Trans. Control. Netw. Syst. 8(3): 1128-1138 (2021) - [c20]Giovanni Russo:
On the crowdsourcing of behaviors for autonomous agents. ACC 2021: 1186-1191 - [c19]Marco Coraggio, Shihao Xie, Francesco De Lellis, Giovanni Russo, Mario di Bernardo:
Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization. CDC 2021: 3538-3543 - [c18]Francesco De Lellis, Giovanni Russo, Mario di Bernardo:
Tutoring Reinforcement Learning via Feedback Control. ECC 2021: 580-585 - [i16]Marco Coraggio, Shihao Xie, Francesco De Lellis, Giovanni Russo, Mario di Bernardo:
Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization. CoRR abs/2103.16502 (2021) - [i15]Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. CoRR abs/2112.06018 (2021) - 2020
- [c17]Meghana Rathi, Pietro Ferraro, Giovanni Russo:
Driving Reinforcement Learning with Models. IntelliSys (1) 2020: 70-85 - [i14]Davide Gagliardi, Giovanni Russo:
On the synthesis of control policies from noisy example datasets: a probabilistic approach. CoRR abs/2001.04428 (2020) - [i13]Shihao Xie, Giovanni Russo, Richard H. Middleton:
Scalability in nonlinear network systems affected by delays and disturbances. CoRR abs/2006.07422 (2020) - [i12]Francesco De Lellis, Giovanni Russo, Mario di Bernardo:
Tutoring Reinforcement Learning via Feedback Control. CoRR abs/2012.06863 (2020)
2010 – 2019
- 2019
- [j19]Julien Monteil, Giovanni Russo, Robert Shorten:
On L∞ string stability of nonlinear bidirectional asymmetric heterogeneous platoon systems. Autom. 105: 198-205 (2019) - [j18]Davide Fiore, Giovanni Russo:
Resilient consensus for multi-agent systems subject to differential privacy requirements. Autom. 106: 18-26 (2019) - [j17]Gaoyang Fan, Giovanni Russo, Paul C. Bressloff:
Node-to-Node and Node-to-Medium Synchronization in Quorum Sensing Networks Affected by State-Dependent Noise. SIAM J. Appl. Dyn. Syst. 18(4): 1934-1953 (2019) - [j16]Giovanni Russo, Fabian Wirth, Robert Shorten:
On Synchronization in Continuous-Time Networks of Nonlinear Nodes With State-Dependent and Degenerate Noise Diffusion. IEEE Trans. Autom. Control. 64(1): 389-395 (2019) - [j15]Daniel Alberto Burbano Lombana, Giovanni Russo, Mario di Bernardo:
Pinning Controllability of Complex Network Systems With Noise. IEEE Trans. Control. Netw. Syst. 6(2): 874-883 (2019) - [j14]Shaun Sweeney, Rodrigo H. Ordóñez-Hurtado, Francesco Pilla, Giovanni Russo, David Timoney, Robert Shorten:
A Context-Aware E-Bike System to Reduce Pollution Inhalation While Cycling. IEEE Trans. Intell. Transp. Syst. 20(2): 704-715 (2019) - [c16]Andrew Mannion, Hugo Lhachemi, Giovanni Russo, Shaun Sweeney, Robert Shorten:
On the design of cyber-physical control system for a smart pedelec (Ebike). CDC 2019: 2108-2113 - [c15]Giovanni Russo, Fabian Wirth:
Coppel's inequality for linear systems on time scales. CDC 2019: 5187-5192 - [c14]Bernat Guillen Pegueroles, Giovanni Russo:
On robust stability of fully probabilistic control with respect to data-driven model uncertainties. ECC 2019: 2460-2465 - [c13]Julien Monteil, Giovanni Russo:
On the coexistence of human-driven and automated vehicles within platoon systems. ECC 2019: 3173-3178 - [c12]Davide Fiore, Giovanni Russo:
Resilient and private consensus in multi-agent systems. ECC 2019: 3478-3483 - [c11]Andrew Cullen, Pietro Ferraro, Giovanni Russo, Robert Shorten:
Ad-hocChain: Cooperative Sharing and Trading Infrastructure for Electric Vehicle Charging Networks. ITSC 2019: 207-212 - [i11]Pietro Ferraro, Meghana Rathi, Giovanni Russo:
Driving Reinforcement Learning with Models. CoRR abs/1911.04400 (2019) - [i10]Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Mario di Bernardo:
Control-Tutored Reinforcement Learning: an application to the Herding Problem. CoRR abs/1911.11444 (2019) - [i9]Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Pietro De Lellis, Mario di Bernardo:
Control-Tutored Reinforcement Learning. CoRR abs/1912.06085 (2019) - 2018
- [j13]Marianna Rotoli, Giovanni Russo, Mario di Bernardo:
Stabilizing Quorum-Sensing Networks via Noise. IEEE Trans. Circuits Syst. II Express Briefs 65-II(5): 647-651 (2018) - [j12]Yingqi Gu, Mingming Liu, Joe Naoum-Sawaya, Emanuele Crisostomi, Giovanni Russo, Robert Shorten:
Pedestrian-Aware Engine Management Strategies for Plug-In Hybrid Electric Vehicles. IEEE Trans. Intell. Transp. Syst. 19(1): 92-101 (2018) - [j11]Wynita M. Griggs, Giovanni Russo, Robert Shorten:
Leader and Leaderless Multi-Layer Consensus With State Obfuscation: An Application to Distributed Speed Advisory Systems. IEEE Trans. Intell. Transp. Syst. 19(3): 711-721 (2018) - [c10]Giovanni Russo, Sergiy Zhuk:
On the identification of biochemical systems from intermittent and noisy data. CDC 2018: 3038-3043 - [c9]Alexey M. Kashevnik, Francesco Pilla, Giovanni Russo, David Timoney, Shaun Sweeney, Robert Shorten, Rodrigo H. Ordóñez-Hurtado:
Context-Based Cyclist Intelligent Support: An Approach to e-Bike Control Based on Smartphone Sensors. NEW2AN 2018: 16-22 - [i8]Julien Monteil, Giovanni Russo, Robert Shorten:
On L∞ string stability of asymmetrically coupled bidirectional heterogeneous platoon systems. CoRR abs/1801.07564 (2018) - [i7]Yassine Lassoued, Julien Monteil, Yingqi Gu, Giovanni Russo, Robert Shorten, Martin Mevissen:
A Hidden Markov Model for Route and Destination Prediction. CoRR abs/1804.03504 (2018) - [i6]Rodrigo H. Ordóñez-Hurtado, Giovanni Russo, Sam Sinnott, Robert Shorten:
On the design of a decision engine for connected vehicles with an application to congestion management. CoRR abs/1804.06935 (2018) - [i5]Davide Fiore, Giovanni Russo:
Resilient consensus for multi-agent systems subject to differential privacy requirements. CoRR abs/1805.08458 (2018) - 2017
- [j10]Julien Monteil, Giovanni Russo:
On the Design of Nonlinear Distributed Control Protocols for Platooning Systems. IEEE Control. Syst. Lett. 1(1): 140-145 (2017) - [j9]Davide Fiore, Giovanni Russo, Mario di Bernardo:
Exploiting Nodes Symmetries to Control Synchronization and Consensus Patterns in Multiagent Systems. IEEE Control. Syst. Lett. 1(2): 364-369 (2017) - [c8]Yassine Lassoued, Julien Monteil, Yingqi Gu, Giovanni Russo, Robert Shorten, Martin Mevissen:
A hidden Markov model for route and destination prediction. ITSC 2017: 1-6 - [c7]Tim Barker, Giovanni Russo, Mario di Bernardo:
A modular intersection controller with adaptive stage selection and duration algorithms. MT-ITS 2017: 786-791 - [i4]Shaun Sweeney, Rodrigo H. Ordóñez-Hurtado, Francesco Pilla, Giovanni Russo, David Timoney, Robert Shorten:
Cyberphysics, pollution mitigation, and pedelecs. CoRR abs/1706.00646 (2017) - 2016
- [c6]Sam Sinnott, Rodrigo H. Ordóñez-Hurtado, Giovanni Russo, Robert Shorten:
On the design of a route parsing engine for connected vehicles with applications to congestion management systems. ITSC 2016: 1586-1591 - [c5]Wynita M. Griggs, Giovanni Russo, Robert Shorten:
Consensus with state obfuscation: an application to speed advisory systems. ITSC 2016: 2506-2511 - [i3]Mario di Bernardo, Davide Fiore, Giovanni Russo:
On synchronization and consensus patterns in complex networks: from analysis to control. CoRR abs/1603.00322 (2016) - [i2]Giovanni Russo, Robert Shorten:
On noise-induced synchronization and consensus of nonlinear network systems under input disturbances. CoRR abs/1603.06465 (2016) - [i1]Yingqi Gu, Mingming Liu, Joe Naoum-Sawaya, Emanuele Crisostomi, Giovanni Russo, Robert Shorten:
Pedestrian-Aware Engine Management Strategies for Plug-in Hybrid Electric Vehicles. CoRR abs/1612.07568 (2016) - 2014
- [j8]Mario di Bernardo, Davide Liuzza, Giovanni Russo:
Contraction Analysis for a Class of NonDifferentiable Systems with Applications to Stability and Network Synchronization. SIAM J. Control. Optim. 52(5): 3203-3227 (2014) - [j7]Giovanni Russo, Mario di Bernardo:
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 61-II(11): 915 (2014) - 2013
- [j6]Giovanni Russo, Mario di Bernardo, Eduardo D. Sontag:
A Contraction Approach to the Hierarchical Analysis and Design of Networked Systems. IEEE Trans. Autom. Control. 58(5): 1328-1331 (2013) - [c4]Giovanni Russo, Mario di Bernardo, Jean-Jacques E. Slotine:
Convergence and cluster synchronization in networks of discrete-time and asynchronous systems. CDC 2013: 5921-5926 - 2011
- [j5]Giovanni Russo, Mario di Bernardo, Jean-Jacques E. Slotine:
A Graphical Approach to Prove Contraction of Nonlinear Circuits and Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 58-I(2): 336-348 (2011) - [j4]Pietro De Lellis, Mario di Bernardo, Giovanni Russo:
On QUAD, Lipschitz, and Contracting Vector Fields for Consensus and Synchronization of Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 58-I(3): 576-583 (2011) - 2010
- [b1]Giovanni Russo:
Analysis, Control and Synchronization of nonlinear systems and networks via Contraction Theory: theory and applications. University of Naples Federico II, Italy, 2010 - [j3]Giovanni Russo, Mario di Bernardo, Eduardo D. Sontag:
Global Entrainment of Transcriptional Systems to Periodic Inputs. PLoS Comput. Biol. 6(4) (2010) - [c3]Giovanni Russo, Mario di Bernardo, Eduardo D. Sontag:
Stability of networked systems: A multi-scale approach using contraction. CDC 2010: 6559-6564
2000 – 2009
- 2009
- [j2]Giovanni Russo, Mario di Bernardo:
How to Synchronize Biological Clocks. J. Comput. Biol. 16(2): 379-393 (2009) - [j1]Giovanni Russo, Mario di Bernardo:
Contraction Theory and Master Stability Function: Linking Two Approaches to Study Synchronization of Complex Networks. IEEE Trans. Circuits Syst. II Express Briefs 56-II(2): 177-181 (2009) - [c2]Giovanni Russo, Mario di Bernardo:
Solving the rendezvous problem for multi-agent systems using contraction theory. CDC 2009: 5821-5826 - [c1]Giovanni Russo, Mario di Bernardo:
An Algorithm for the Construction of Synthetic Self Synchronizing Biological Circuits. ISCAS 2009: 305-308
Coauthor Index
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