Publications
Our publications capture our theoretical and application-oriented work. We seek to establish a virtue cycle between theory and applications, where our theoretical results are motivated by challenging, real-world, applications and where, viceversa, our applications rely on solid mathematical results. See here for my Google Scholar page and here for our design portfolio (with patents).
Books
B. Ghaddar, J. Naoum-Sawaya, E. Crisostomi, G. Russo, R. Shorten (Editors), “Control and Optimization Analytics for the Sharing Economy – New Opportunities for Engineers and Mathematicians”, Springer, 2020, doi.org/10.1007/978-3-030-35032-1
Selected preprints
The most exciting research is always the new one. Here, we report some selected preprints of our works:
Journal Papers
V. Centorrino, A. Gokhale, A. Davydov, G. Russo, F. Bullo, "On Weakly Contracting Dynamics for Convex Optimization", IEEE Control Systems Letters, vol. 8, pp. 1745-1750, 2024 (for the preprint see here and here)
S. Brancato, D. Salzano, F. de Lellis, D. Fiore, G. Russo, M. di Bernardo, "Ratiometric control of two microbial populations in a dual chamber bioreactor", IEEE Control Systems Letters, vol. 8, pp. 1301-1306, 2024 (see bioRxiv for the preprint)
F. de Lellis, M. Coraggio, G. Russo, M. Musolesi, M. di Bernardo, "Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning", IEEE Transactions on Control System Technology, 2024 (see arXiv for the preprint)
V. Centorrino, F. Bullo, G. Russo, "Modelling and Contractivity of Neural-Synaptic Networks with Hebbian Learning", Automatica, vol. 164, 111636, 2024 (see arXiv for the preprint)
V. Centorrino, A. Gokhale, A. Davydov, G. Russo, F. Bullo, "Positive Competitive Networks for Sparse Reconstruction", Neural Computation, vol. 36, pp. 1163-1197, 2024 (see arXiv for the preprint)
S. Xie, G. Russo, "A Multiplex Approach Against Disturbance Propagation in Nonlinear Networks with Delays", IEEE Open Journal of Control Systems, vol. 3, pp. 87-101, 2024 (see here)
E. Garrabé, G. Russo, "CRAWLING: a Crowdsourcing Algorithm on Wheels for Smart Parking", Scientific Reports, vol. 13, 16617, 2023 Collection in Advanced Transportation Systems (see here)
E. Garrabé, M. Lamberti, G. Russo, "Optimal Decision-Making for Autonomous Agents via Data Composition", IEEE Control Systems Letters, vol. 7, pp. 2557-2562, 2023 (see arXiv for the preprint of an extended version) - presented at the IEEE 62nd Conference on Decision and Control, CDC 2023
V. Centorrino, A. Gokhale, A. Davydov, G. Russo, F. Bullo, "Euclidean Contractivity of Neural Networks with Symmetric Weights", IEEE Control Systems Letters, vol. 7, pp. 1724-1729, 2023 (see also arXiv for the preprint of an extended version) - presented at the IEEE 62nd Conference on Decision and Control, CDC 2023 (invited)
E. Garrabé, G. Russo, "Probabilistic design of optimal sequential decision-making algorithms in learning and control", Annual Reviews in Control, vol. 54, pp. 81-102, 2022 (see also arXiv for the preprint)
S. Sweeney, H. Lhachemi, A. Mannion, G. Russo, R. Shorten, "Pitchfork-bifurcation-based competitive and collaborative control of an E-bike system", Automatica, vol. 146, 110595, 2022 (see also arXiv for the preprint)
D. Gagliardi, G. Russo, "On a probabilistic approach to synthesize control policies from example datasets", Automatica, vol. 137, 110121, 2022 (see arXiv for the preprint)
E. Garrabé, G. Russo, "On the design of autonomous agents from multiple data sources", IEEE Control Systems Letters, vol. 6, pp. 698 - 703, 2022 (see also arXiv for the preprint of an extended version) - also presented at the IEEE 60th Conference on Decision and Control, CDC 2021 (invited)
G. Russo, F. Wirth, "Matrix measures, stability and contraction theory for dynamical systems on time scales", AIMS Discrete and Continuous Dynamical Systems - B, vol. 27, pp. 3345-3374 , 2022 (see arXiv for the preprint)
S. Xie, G. Russo, R. Middleton, "Scalability in nonlinear network systems affected by delays and disturbances", IEEE Transactions on Control of Network Systems, vol. 8, pp. 1128-1138, 2021 (see arXiv for the preprint)
G. Russo, "On the crowdsourcing of behaviors for autonomous agents", IEEE Control Systems Letters, vol. 5, pp. 1321-1326, 2021 (see also arXiv for the preprint) - also presented at the 2021 American Control Conference
F. Della Rossa, D. Salzano, A. Di Meglio, F. De Lellis, M. Coraggio, C. Calabrese, A. Guarino, R. Cardona, P. De Lellis, D. Liuzza, F. Lo Iudice, G. Russo, M. di Bernardo, "A network model of Italy shows that intermittent regional strategies can alleviate the COVID-19 epidemic", Nature Communications, vol. 11, pp. 5106, 2020 (see link)
G. Fan, G. Russo, P. Bressloff, “Node to Node and Node to Medium Synchronization in Quorum Sensing Networks Affected by State Dependent Noise”, SIAM Journal on Applied Dynamical Systems, vol. 18, pp. 1934-1953, 2019
D. Fiore, G. Russo, “Resilient consensus for multi-agent systems subject to differential privacy requirements”, Automatica, vol. 106, pp. 18-26, 2019 (see also here for a preprint)
D. Burbano, G. Russo, M. di Bernardo, “Pinning controllability of complex network systems with noise”, IEEE Transactions on Control of Network Systems, vol. 6, pp. 874-883, 2019
J. Monteil, G. Russo, R. Shorten, “On \mathcal{L}_{\infty} string stability of nonlinear bidirectional asymmetric heterogeneous platoon systems”, Automatica, vol. 105, pp. 198-205, 2019 (see also here for a preprint)
G. Russo, F. Wirth, R. Shorten, “On synchronization in continuous-time networks of nonlinear nodes with state dependent degenerate noise diffusion”, IEEE Transactions on Automatic Control, vol. 64, pp. 389-395, 2019
G. Russo, M. di Bernardo, “On distributed coordination in networks of cyber-physical systems”, Chaos (Focus Issue: Complex Network Approaches to Cyber-Physical Systems), vol. 29, pp. 053126, 2019
S. Sweeney, R. Ordonez-Hurtado, F. Pilla, G. Russo, D. Timoney, R. Shorten, “A Context-Aware E-Bike System to Reduce Pollution Inhalation While Cycling”, IEEE Transactions on Intelligent Transportation Systems, vol. 20, pp. 704-715, 2019 (see also here for a preprint)
G. Russo, “Loss of Coordination in complex directed networks: an incremental approach based on matrix measures”, International Journal of Robust and Nonlinear Control, vol. 28, pp. 120-131, 2019
G. Russo, R. Shorten, “On common noise-induced synchronization in complex networks with state-dependent noise diffusion processes”, Physica D, vol. 369, pp. 47-54, 2018
W. Griggs, G. Russo, R. Shorten, “On leader and leaderless consensus with state obfuscation: an application to speed advisory systems”, IEEE Transactions on Intelligent Transportation Systems, vol. 18, pp. 711-721, 2018
Y. Gu, M. Liu, J. Naoum-Sawaya, E. Crisostomi, G. Russo, R. Shorten, “Pedestrian-aware management strategies for Plug-in Hybrid Electric Vehicles”, IEEE Transactions on Intelligent Transportation Systems, vol. 19, pp. 92-101, 2018 (see also here for a preprint)
M. Rotoli, G. Russo, M. di Bernardo “Stabilizing quorum-sensing networks via noise”, IEEE Transactions on Circuits and Systems II – Express Briefs, vol. 65, pp. 647 – 651, 2018
G. Russo, “How to de-synchronize quorum-sensing networks”, Physical Review E, vol.95, pp. 042312, 2017 (see also here for a preprint)
D. Fiore, G. Russo, M. di Bernardo, “Exploiting nodes symmetries to control synchronization and consensus patterns in multiagent systems”, IEEE Control Systems Letters, vol. 1, 364-369, 2017 (see also here for a preprint)
J. Monteil, G. Russo, “On the design of nonlinear distributed control protocols for platooning systems”, IEEE Control Systems Letters, vol. 1, pp. 140-145, 2017
D. Liuzza, G. Russo, M. di Bernardo, “Contraction analysis of switched systems: the case of Caratheodory Systems and Networks”, SIAM Journal on Control and Optimization, vol. 52, pp. 3203-3227, 2014
G. Russo, M. di Bernardo, E. D. Sontag, “A contraction approach to the hierarchical analysis and design of networked systems”, IEEE Transactions on Automatic Control, vol. 58, pp. 1328-1331, 2013
G. Russo, J.J.E. Slotine “Symmetries, stability, and control in nonlinear systems and networks”, Physical Review E, vol. 84, pp. 041929, 2011
P. de Lellis, M. di Bernardo, G. Russo, “On QUAD, Lipschitz and contracting vector fields for consensus and synchronization of networks”, IEEE Transactions on Circuits and Systems I, vol. 58, pp. 576-583, 2011
G. Russo, M. di Bernardo, J.J.E. Slotine, “A graphical algorithm to prove contraction on nonlinear circuits and systems”, IEEE Transactions on Circuits and Systems I, vol. 58, pp. 336-348, 2011
G. Russo, M. di Bernardo, E.D. Sontag, “Global entrainment of transcriptional systems to periodic inputs”, PLoS Computational Biology, vol. 6, pp. e1000739, 2010 (see also here for a preprint)
P. de Lellis, M. di Bernardo, T. Gorochowsky, G. Russo, “Synchronization and Control of Complex Networks via Contraction, Adaptation and Evolution”, IEEE Circuits And Systems Magazine: Special Issue on Complex Networks Applications in Circuits and Systems, vol. 10, pp. 64-82, 2010
G. Russo, J.J.E. Slotine “Global convergence of Quorum-sensing networks”, Physical Review E, vol. 82, pp. 041919, 2010
G. Russo, M. di Bernardo, "Contraction Theory and the Master Stability Function: Linking two approaches to study synchronization in complex networks", IEEE Transactions on Circuits and Systems II, vol. 56, pp. 177-181, 2009
G. Russo, M. di Bernardo, "How to synchronize Biological Clocks", Journal of Computational Biology, vol. 16, pp. 379-393, 2009
Conferences
L. Pagliara, E. Ferrentino, A. Chiacchio, G. Russo, "Safe haptic teleoperations of admittance controlled robots with virtualization of the force feedback", 2024 IEEE 20th International Conference on Automation Science and Engineering, 2024 (see here for the preprint)
S. Brancato, D. Salzano, F. de Lellis, D. Fiore, G. Russo, M. di Bernardo, "In vivo learning-based control of microbial population density in bioreactors", 6th Annual Learning for Dynamics & Control, Proceedings of Machine Learning Research vol 242, 941–953, 2024 (see here - selected for oral presentation)
E. Garrabé, H. Jesawada, C. Del Vecchio, G. Russo, "On a Probabilistic Approach for Inverse Data-Driven Optimal Control", 62nd IEEE Conference on Decision and Control, CDC 2023, pp. 4411-4416, 2023 (see arXiv for the preprint)
E. Ferrentino, P. Chiacchio, G. Russo, "Discrete fully probabilistic design: towards a control pipeline for the synthesis of policies from examples", 31st Mediterranean Conference on Control and Automation, pp. 759-764, 2023 (presented, see arXiv for an extended version)
F. de Lellis, M. Coraggio, G. Russo, M. Musolesi, M. di Bernardo, "CT-DQN: Control-Tutored Deep Reinforcement Learning", 5th Annual Learning for Dynamics & Control, Proceedings of Machine Learning Research vol 211, pp. 1-13, 2023 (to be presented, see arXiv for the preprint)
S. Brancato, F. De Lellis, D. Salzano, G. Russo, M. di Bernardo, "External control of a genetic toggle switch via Reinforcement Learning", 2023 European Control Conference, pp. 1-6, 2023 (see arXiv for the preprint)
S. Xie, G. Russo, "On the design of multiplex control to reject disturbances in nonlinear network systems affected by heterogeneous delays", 2023 American Control Conference, pp. 240-245, 2023 (see arXiv for the preprint)
V. Centorrino, F. Bullo, G. Russo, "Contraction Analysis of Hopfield Neural Networks with Hebbian Learning", 2022 IEEE 61st Conference on Decision and Control, Cancun, Mexico, 2022, pp. 622-627, 2023 (to arXiv for the preprint)
S. Xie, G. Russo, "On the design of scalable networks to reject first order disturbances", NecSys 2022 (see arXiv for an extended version with proofs)
F. de Lellis, M. Coraggio, G. Russo, M. Musolesi, M. di Bernardo, "Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control", 4th Annual Learning for Dynamics & Control, 2022 (arXiv)
F. De Lellis, F. Auletta, G. Russo, P. de Lellis, M. di Bernardo, "An Application of Control-Tutored Reinforcement Learning to the Herding Problem", 2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (see here for the paper)
M. Coraggio, S. Xie, F. de Lellis, G. Russo, M. di Bernardo, "Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization", 60th International Conference on Decision and Control, 2021 (see arXiv for the preprint)
F. de Lellis, G. Russo, M. di Bernardo, "Tutoring Reinforcement Learning via Feedback Control", 2021 European Control Conference, to be presented (arXiv)
D. Gagliardi, G. Russo "On the synthesis of control policies from noisy example datasets: a probabilistic approach", 2020 IFAC World Congress (see here for an extended preprint)
M. Rathi, P. Ferraro, G. Russo "Driving Reinforcement Learning with Models", Intellisys 2020, September 2-3, 2020, Amsterdam, The Netherlands (see here for the preprint)
B. Guillen-Pegueroles, G. Russo “On Robust Stability of Fully Probabilistic Control with Respect to Data-Driven Model Uncertainties”, 2019 European Control Conference, July 25-28, 2019, Naples, Italy, pp. 2460-2465 (Invited Session)
J. Monteil, G. Russo “On the Coexistence of Human-Driven and Automated Vehicles within Platoon Systems”, 2019 European Control Conference, July 25-28, 2019, Naples, Italy, pp. 3173-3178 (Invited Session)
D. Fiore, G. Russo “Resilient and Private Consensus in Multi-Agent Systems”, 2019 European Control Conference, July 25-28, 2019, Naples, Italy, pp. 3478-3483
G. Russo, F. Wirth “Coppel’s inequality for linear systems on time scales”, 58th IEEE International Conference on Decision and Control, December 11-13, 2019, Nice, France
A. Mannion, H. Lhachemi, G. Russo, S. Sweeney and R. Shorten “On the design of cyber-physical control system for a smart pedelec (Ebike)”, 58th IEEE International Conference on Decision and Control, December 11-13, 2019, Nice, France (Invited Session)
A. Cullen, P. Ferraro, G. Russo, R. Shorten “Ad-hocChain: Cooperative Sharing and Trading Infrastructure for Electric Vehicle Charging Networks” 2019 IEEE Intelligent Transportation Systems Conference (ITSC), October 27-30, 2019 Auckland, New Zealand
G. Russo, S. Zhuk “On the identification of biochemical systems from intermittent and noisy data”, 57th IEEE International Conference on Decision and Control, December 17-19, 2018, Miami, USA, pp. 3038-3043
M. Rotoli, G. Russo, M. di Bernardo “Stabilizing quorum-sensing networks via noise”, International Symposium on Circuits And Systems 2018, May 20-27, 2018, Florence, Italy
T. Barker, G. Russo, M. di Bernardo “A Modular Intersection Controller with Adaptive Stage Selection and Duration Algorithms”, 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), June 26-28, 2017, Naples, Italy, pp. 786-791
Y. Lassoued, J. Monteil, Y. Gu, G. Russo, R. Shorten, M. Mevissen “A Hidden Markov Model for Route and Destination Prediction”, IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) October 16-19, 2017, Yokohama, Japan, pp. 1-6
D. Burbano, G. Russo, M. di Bernardo “Pinning controllability of complex stochastic networks”, 2017 IFAC World Congress, July 9-14, 2017, Touloues, France, pp. 8327-8332
W. Griggs, G. Russo, R. Shorten “Consensus with state obfuscation: an application to Speed Advisory Systems”, Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, November, 1-4, 2016, Rio de Janeiro, Brazil, pp. 2506-2511
R. Ordez-Hurtado, S. Sinnott, G. Russo, R. Shorten “Principled design of a congestion management system with fairness guarantees using a route parsing engine”, 19th IEEE International Conference on Intelligent Transportation Systems, November, 1-4, 2016, Rio de Janeiro, Brazil, pp. 1586-1591
G. Russo, M. di Bernardo, J.J. Slotine “Convergence and Cluster Synchronization in Networks of Discrete-time and Asynchronous Systems”, 52nd IEEE Conference on Decision and Control, December, 10-13, 2013, Florence, Italy, pp. 5921-5926
G. Russo, M. di Bernardo, “On contraction of piece-wise smooth dynamical systems”, 18th IFAC World Congress, 28 August - 2 September 2011, Milan, Italy, vol. 8, pp. 13299-13304
G. Russo, M. di Bernardo, E.D. Sontag “Stability of networked systems: a multi-scale approach using contraction”, 49th IEEE Conference on Decision and Control, 15-17 December 2010, Atlanta, Georgia, USA, pp. 6559-6564 (Invited Session)
G. Russo, M. di Bernardo, E.D Sontag, “Global entrainment of transcriptional systems”, RECOMB (REsearch in COmputational Molecular Biology) 2010, December 2-6, 2009, Boston, Massachusetts, USA
G. Russo, M. di Bernardo, “Solving the rendezvous problem using contraction theory”, 48th IEEE Conference on Decision and Control, 16-18 December 2010, Shanghai, pp. 5821-5826
G. Russo, M. di Bernardo, J.J.E. Slotine, “An algorithm to prove contraction, consensus and network synchronization”, 1st IFAC Workshop on Estimation and Control, September 24-26, 2009, Venice, Italy, vol. 1, pp. 1-4
G. Russo, M. di Bernardo, “An algorithm for the construction of self synchronizing biological circuits”, International Symposium on Circuits And Systems 2009, May 24-27, 2009, Taipei, Taiwan, pp. 305-308
G. Russo, M. di Bernardo, “How to synchronize Biological Clocks”, RECOMB 2008, October 29-November 2, 2009, Boston, Massachusetts, USA
G. Russo, M. di Bernardo, “How to build a network of biological oscillators that synchronize”, International Conference on Systems Biology 2008, August 23-27, 2008, Goteborg, Sweden
Book Chapters
R. Ordóñez-Hurtado, G. Russo, S. Sinnott, R. Shorten, "On Parsing Shared Information: An Application from the Connected Car Domain", in Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives, pp. 205-225, Springer-Verlag. Editors: E. Crisostomi, B. Ghaddar, F. Hausler, J. Naoum-Sawaya, G. Russo, R. Shorten, 2020
W. Griggs, R. Ordonez-Hurtado, G. Russo, R. Shorten, “A Hardware-in-the-Loop emulation platform for demonstrating Intelligent Transportation Systems”, in Development, Testing and Verification of ADAS/ADF, Lecture Notes in Control and Information Science, pp. 133-154, Springer-Verlag. Editors: Luigi Del Re, Harald Waschl, 2019
A. Kashevnik, F. Pilla, G. Russo, D. Timoney, S. Sweeney, R. Shorten, R. Ordonez-Hurtado, “Context-based cyclist intelligent support: an approach to e-bike control based on smartphones”, in Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2018, ruSMART, 2018. Lecture Notes in Computer Science Vol. 11118, pp.16-22, Springer (Cham). Editors: Galinina O., Andreev S., Balandin S., Koucheryavy Y, 2018
F. Scafuti, D. Fiore, M. di Bernardo, G. Russo, “Convergence, Consensus and Synchronization of Complex Networks via Contraction Theory”, in Complex Systems and Networks, pp. 313-339, Springer-Verlag. Editors: Jinhu Lü, Xinghuo Yu, Guanrong Chen, Wenwu Yu, 2015
P. de Lellis, M. di Bernardo, G. Russo, “Adaptation and contraction theory for the synchronization of complex neural networks”, in The relevance of the time domain to neural network models, Springer Series in Cognitive and Neural Systems Vol. 3, pp. 9-3, Springer-Verlag. Editors: A. Ravishankar Rao, Guillermo A. Cecchi, 2012
G. Russo, M. di Bernardo, J.J.E. Slotine, “Contraction theory for systems biology”, in Design and Analysis of Biomolecular Circuits, pp. 93-114 Springer-Verlag. Editors: Heinz Koeppl, Gianluca Setti, Mario di Bernardo, Douglas Densmore, 2011