Solving the rendezvous problem for multi-agent systems using contraction theory. - Giovanni Russo 002; Mario di Bernardo (CDC, 2009)

An Algorithm for the Construction of Synthetic Self Synchronizing Biological Circuits. - Giovanni Russo 002; Mario di Bernardo (ISCAS, 2009)

How to Synchronize Biological Clocks. - Giovanni Russo 002; Mario di Bernardo (J. Comput. Biol., 2009)

Contraction Theory and Master Stability Function: Linking Two Approaches to Study Synchronization of Complex Networks. - Giovanni Russo 002; Mario di Bernardo (IEEE Trans. Circuits Syst. II Express Briefs, 2009)

Stability of networked systems: A multi-scale approach using contraction. - Giovanni Russo 002; Mario di Bernardo; Eduardo D. Sontag (CDC, 2010)

Global Entrainment of Transcriptional Systems to Periodic Inputs. - Giovanni Russo 002; Mario di Bernardo; Eduardo D. Sontag (PLoS Comput. Biol., 2010)

Analysis, Control and Synchronization of nonlinear systems and networks via Contraction Theory: theory and applications. - Giovanni Russo 002 (2010)

On QUAD, Lipschitz, and Contracting Vector Fields for Consensus and Synchronization of Networks. - Pietro De Lellis; Mario di Bernardo; Giovanni Russo 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2011)

A Graphical Approach to Prove Contraction of Nonlinear Circuits and Systems. - Giovanni Russo 002; Mario di Bernardo; Jean-Jacques E. Slotine (IEEE Trans. Circuits Syst. I Regul. Pap., 2011)

Convergence and cluster synchronization in networks of discrete-time and asynchronous systems. - Giovanni Russo 002; Mario di Bernardo; Jean-Jacques E. Slotine (CDC, 2013)

A Contraction Approach to the Hierarchical Analysis and Design of Networked Systems. - Giovanni Russo 002; Mario di Bernardo; Eduardo D. Sontag (IEEE Trans. Autom. Control., 2013)

Contraction Analysis for a Class of NonDifferentiable Systems with Applications to Stability and Network Synchronization. - Mario di Bernardo; Davide Liuzza; Giovanni Russo 002 (SIAM J. Control. Optim., 2014)

Correction to Section V-B of "Contraction Theory and the Master Stability Function: Linking Two Approaches to Study Synchronization in Complex Networks". - Giovanni Russo 002; Mario di Bernardo (IEEE Trans. Circuits Syst. II Express Briefs, 2014)

Consensus with state obfuscation: an application to speed advisory systems. - Wynita M. Griggs; Giovanni Russo 002; Robert Shorten (ITSC, 2016)

On the design of a route parsing engine for connected vehicles with applications to congestion management systems. - Sam Sinnott; Rodrigo H. Ordóñez-Hurtado; Giovanni Russo 002; Robert Shorten (ITSC, 2016)

On synchronization and consensus patterns in complex networks: from analysis to control. - Mario di Bernardo; Davide Fiore; Giovanni Russo 002 (CoRR, 2016)

On noise-induced synchronization and consensus of nonlinear network systems under input disturbances. - Giovanni Russo 002; Robert Shorten (CoRR, 2016)

A hidden Markov model for route and destination prediction. - Yassine Lassoued; Julien Monteil; Yingqi Gu; Giovanni Russo 002; Robert Shorten; Martin Mevissen (ITSC, 2017)

A modular intersection controller with adaptive stage selection and duration algorithms. - Tim Barker; Giovanni Russo 002; Mario di Bernardo (MT-ITS, 2017)

Cyberphysics, pollution mitigation, and pedelecs. - Shaun Sweeney; Rodrigo H. Ordóñez-Hurtado; Francesco Pilla; Giovanni Russo 002; David Timoney; Robert Shorten (CoRR, 2017)

Exploiting Nodes Symmetries to Control Synchronization and Consensus Patterns in Multiagent Systems. - Davide Fiore; Giovanni Russo 002; Mario di Bernardo (IEEE Control. Syst. Lett., 2017)

On the Design of Nonlinear Distributed Control Protocols for Platooning Systems. - Julien Monteil; Giovanni Russo 002 (IEEE Control. Syst. Lett., 2017)

On the identification of biochemical systems from intermittent and noisy data. - Giovanni Russo 002; Sergiy Zhuk (CDC, 2018)

Context-Based Cyclist Intelligent Support: An Approach to e-Bike Control Based on Smartphone Sensors. - Alexey M. Kashevnik; Francesco Pilla; Giovanni Russo 002; David Timoney; Shaun Sweeney; Robert Shorten; Rodrigo H. Ordóñez-Hurtado (NEW2AN, 2018)

On L∞ string stability of asymmetrically coupled bidirectional heterogeneous platoon systems. - Julien Monteil; Giovanni Russo 002; Robert Shorten (CoRR, 2018)

On the design of a decision engine for connected vehicles with an application to congestion management. - Rodrigo H. Ordóñez-Hurtado; Giovanni Russo 002; Sam Sinnott; Robert Shorten (CoRR, 2018)

Stabilizing Quorum-Sensing Networks via Noise. - Marianna Rotoli; Giovanni Russo 002; Mario di Bernardo (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

Leader and Leaderless Multi-Layer Consensus With State Obfuscation: An Application to Distributed Speed Advisory Systems. - Wynita M. Griggs; Giovanni Russo 002; Robert Shorten (IEEE Trans. Intell. Transp. Syst., 2018)

Pedestrian-Aware Engine Management Strategies for Plug-In Hybrid Electric Vehicles. - Yingqi Gu; Mingming Liu 001; Joe Naoum-Sawaya; Emanuele Crisostomi; Giovanni Russo 002; Robert Shorten (IEEE Trans. Intell. Transp. Syst., 2018)

Coppel's inequality for linear systems on time scales. - Giovanni Russo 002; Fabian Wirth (CDC, 2019)

On the design of cyber-physical control system for a smart pedelec (Ebike). - Andrew Mannion; Hugo Lhachemi; Giovanni Russo 002; Shaun Sweeney; Robert Shorten (CDC, 2019)

Resilient and private consensus in multi-agent systems. - Davide Fiore; Giovanni Russo 002 (ECC, 2019)

On the coexistence of human-driven and automated vehicles within platoon systems. - Julien Monteil; Giovanni Russo 002 (ECC, 2019)

On robust stability of fully probabilistic control with respect to data-driven model uncertainties. - Bernat Guillen Pegueroles; Giovanni Russo 002 (ECC, 2019)

Ad-hocChain: Cooperative Sharing and Trading Infrastructure for Electric Vehicle Charging Networks. - Andrew Cullen; Pietro Ferraro; Giovanni Russo 002; Robert Shorten (ITSC, 2019)

Resilient consensus for multi-agent systems subject to differential privacy requirements. - Davide Fiore; Giovanni Russo 002 (Autom., 2019)

On L∞ string stability of nonlinear bidirectional asymmetric heterogeneous platoon systems. - Julien Monteil; Giovanni Russo 002; Robert Shorten (Autom., 2019)

Control-Tutored Reinforcement Learning: an application to the Herding Problem. - Francesco De Lellis; Fabrizia Auletta; Giovanni Russo 002; Mario di Bernardo (CoRR, 2019)

Control-Tutored Reinforcement Learning. - Francesco De Lellis; Fabrizia Auletta; Giovanni Russo 002; Pietro De Lellis; Mario di Bernardo (CoRR, 2019)

Node-to-Node and Node-to-Medium Synchronization in Quorum Sensing Networks Affected by State-Dependent Noise. - Gaoyang Fan; Giovanni Russo 002; Paul C. Bressloff (SIAM J. Appl. Dyn. Syst., 2019)

On Synchronization in Continuous-Time Networks of Nonlinear Nodes With State-Dependent and Degenerate Noise Diffusion. - Giovanni Russo 002; Fabian Wirth; Robert Shorten (IEEE Trans. Autom. Control., 2019)

Pinning Controllability of Complex Network Systems With Noise. - Daniel Alberto Burbano Lombana; Giovanni Russo 002; Mario di Bernardo (IEEE Trans. Control. Netw. Syst., 2019)

A Context-Aware E-Bike System to Reduce Pollution Inhalation While Cycling. - Shaun Sweeney; Rodrigo H. Ordóñez-Hurtado; Francesco Pilla; Giovanni Russo 002; David Timoney; Robert Shorten (IEEE Trans. Intell. Transp. Syst., 2019)

Driving Reinforcement Learning with Models. - Meghana Rathi; Pietro Ferraro; Giovanni Russo 002 (IntelliSys (1), 2020)

On the synthesis of control policies from noisy example datasets: a probabilistic approach. - Davide Gagliardi; Giovanni Russo 002 (CoRR, 2020)

Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization. - Marco Coraggio; Shihao Xie; Francesco De Lellis; Giovanni Russo 002; Mario di Bernardo (CDC, 2021)

Tutoring Reinforcement Learning via Feedback Control. - Francesco De Lellis; Giovanni Russo 002; Mario di Bernardo (ECC, 2021)

On the Crowdsourcing of Behaviors for Autonomous Agents. - Giovanni Russo 002 (IEEE Control. Syst. Lett., 2021)

Scalability in Nonlinear Network Systems Affected by Delays and Disturbances. - Shihao Xie; Giovanni Russo 002; Richard H. Middleton (IEEE Trans. Control. Netw. Syst., 2021)

Contraction Analysis of Hopfield Neural Networks with Hebbian Learning. - Veronica Centorrino; Francesco Bullo; Giovanni Russo 002 (CDC, 2022)

Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. - Francesco De Lellis; Marco Coraggio; Giovanni Russo 002; Mirco Musolesi; Mario di Bernardo (L4DC, 2022)

Probabilistic design of optimal sequential decision-making algorithms in learning and control. - Émiland Garrabé; Giovanni Russo 002 (Annu. Rev. Control., 2022)

On a probabilistic approach to synthesize control policies from example datasets. - Davide Gagliardi; Giovanni Russo 002 (Autom., 2022)

Pitchfork-bifurcation-based competitive and collaborative control of an E-bike system. - Shaun Sweeney; Hugo Lhachemi; Andrew Mannion; Giovanni Russo 002; Robert Shorten (Autom., 2022)

On the design of scalable networks to reject polynomial disturbances. - Shihao Xie; Giovanni Russo 002 (CoRR, 2022)

A smart electric bike for smart cities. - Shaun Sweeney; Robert Shorten; David Timoney; Giovanni Russo 002; Francesco Pilla (CoRR, 2022)

On the Design of Integral Multiplex Control Protocols for Nonlinear Network Systems with Delays. - Shihao Xie; Giovanni Russo 002 (CoRR, 2022)

On the Design of Autonomous Agents From Multiple Data Sources. - Émiland Garrabé; Giovanni Russo 002 (IEEE Control. Syst. Lett., 2022)

Erratum to "A Contraction Approach to the Hierarchical Analysis and Design of Networked Systems". - Giovanni Russo 002; Mario di Bernardo; Eduardo D. Sontag (IEEE Trans. Autom. Control., 2022)

On the design of multiplex control to reject disturbances in nonlinear network systems affected by heterogeneous delays. - Shihao Xie; Giovanni Russo 002 (ACC, 2023)

On a Probabilistic Approach for Inverse Data-Driven Optimal Control. - Émiland Garrabé; Hozefa Jesawada; Carmen Del Vecchio; Giovanni Russo 002 (CDC, 2023)

External control of a genetic toggle switch via Reinforcement Learning. - Sara Maria Brancato; Francesco De Lellis; Davide Salzano; Giovanni Russo 002; Mario di Bernardo (ECC, 2023)

CT-DQN: Control-Tutored Deep Reinforcement Learning. - Francesco De Lellis; Marco Coraggio; Giovanni Russo 002; Mirco Musolesi; Mario di Bernardo (L4DC, 2023)

Inverse Data-Driven Optimal Control for Nonlinear Stochastic Non-stationary Systems. - Émiland Garrabé; Hozefa Jesawada; Carmen Del Vecchio; Giovanni Russo 002 (CoRR, 2023)

Contracting Dynamics for Time-Varying Convex Optimization. - Alexander Davydov 001; Veronica Centorrino; Anand Gokhale; Giovanni Russo 002; Francesco Bullo (CoRR, 2023)

Euclidean Contractivity of Neural Networks With Symmetric Weights. - Veronica Centorrino; Anand Gokhale; Alexander Davydov 001; Giovanni Russo 002; Francesco Bullo (IEEE Control. Syst. Lett., 2023)

Optimal Decision-Making for Autonomous Agents via Data Composition. - Émiland Garrabé; Martina Lamberti; Giovanni Russo 002 (IEEE Control. Syst. Lett., 2023)

In vivo learning-based control of microbial populations density in bioreactors. - Sara Maria Brancato; Davide Salzano; Francesco De Lellis; Davide Fiore; Giovanni Russo 002; Mario di Bernardo (L4DC, 2024)

Modeling and contractivity of neural-synaptic networks with Hebbian learning. - Veronica Centorrino; Francesco Bullo; Giovanni Russo 002 (Autom., 2024)

Neo-FREE: Policy Composition Through Thousand Brains And Free Energy Optimization. - Francesca Rossi 004; Émiland Garrabé; Giovanni Russo 002 (CoRR, 2024)

On Weakly Contracting Dynamics for Convex Optimization. - Veronica Centorrino; Alexander Davydov 001; Anand Gokhale; Giovanni Russo 002; Francesco Bullo (IEEE Control. Syst. Lett., 2024)

Positive Competitive Networks for Sparse Reconstruction. - Veronica Centorrino; Anand Gokhale; Alexander Davydov 001; Giovanni Russo 002; Francesco Bullo (Neural Comput., 2024)

Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning. - Francesco De Lellis; Marco Coraggio; Giovanni Russo 002; Mirco Musolesi; Mario di Bernardo (IEEE Trans. Control. Syst. Technol., 2024)

On convex data-driven inverse optimal control for nonlinear, non-stationary and stochastic systems. - Émiland Garrabé; Hozefa Jesawada; Carmen Del Vecchio; Giovanni Russo 002 (Autom., 2025)

DR-PETS: Learning-Based Control With Planning in Adversarial Environments. - Hozefa Jesawada; Antonio Acernese; Davide Del Vecchio; Giovanni Russo 002; Carmen Del Vecchio (IEEE Control. Syst. Lett., 2025)

Robust Decision-Making Via Free Energy Minimization. - Allahkaram Shafiei; Hozefa Jesawada; Karl J. Friston; Giovanni Russo 002 (CoRR, 2025)

Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization. - Veronica Centorrino; Francesca Rossi 004; Francesco Bullo; Giovanni Russo 002 (CoRR, 2025)

DR-PETS: Learning-Based Control With Planning in Adversarial Environments. - Hozefa Jesawada; Antonio Acernese; Giovanni Russo 002; Carmen Del Vecchio (CoRR, 2025)

Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Time Scales. - Veronica Centorrino; Francesco Bullo; Giovanni Russo 002 (CoRR, 2025)