Publications
publications by categories in reversed chronological order.
2025
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Network-aware Recommender System via Online Feedback OptimizationIEEE Transactions on Automatic Control (to appear), 2025 -
Voltage Support Procurement in Transmission Grids: Incentive Design via Online Bilevel Games2025
2024
- Decentralized feedback optimization via sensitivity decoupling: Stability and sub-optimalityIn 2024 European Control Conference (ECC), 2024
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Towards a systems theory of algorithmsIEEE Control Systems Letters, 2024 - Online feedback optimization over networks: A distributed model-free approach2024 IEEE 63rd Conference on Decision and Control (CDC), 2024
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Stability Certificates for Receding Horizon GamesIEEE Transactions on Automatic Control (conditionally accepted), 2024 - Carbon-Aware Computing in a Network of Data Centers: A Hierarchical Game-Theoretic ApproachIn 2024 European Control Conference (ECC), 2024
- Data-enabled predictive control for dynamic traffic routingIn 2024 TRB Annual Meeting Online Program Archive, 2024
- Mitigating Polarization in Recommender Systems via Network-aware Feedback OptimizationarXiv e-prints, 2024
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Optimal Dynamic Pricing in Energy Markets: A Stackelberg Game ApproachIn Symposium on Systems Theory in Data and Optimization, 2024
2023
- Data-driven behaviour estimation in parametric gamesIFAC-PapersOnLine, 2023
- Stability and robustness of distributed suboptimal model predictive controlIFAC-PapersOnLine, 2023
- Designing fairness in autonomous peer-to-peer energy tradingIFAC-PapersOnLine, 2023
- Designing Optimal Personalized Incentive for Traffic Routing using BIG HypeIn 2023 62nd IEEE Conference on Decision and Control (CDC), 2023
- Strategic interactions in multi-modal mobility systems: A game-theoretic perspectiveIn 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023
- Tutorial on congestion control in multi-area transmission grids via online feedback equilibrium seekingIn 2023 62nd IEEE Conference on Decision and Control (CDC), 2023
- Designing Optimal Personalized Incentive for Traffic Routing using BIG HypeIn 2023 62nd IEEE Conference on Decision and Control (CDC), 2023
2022
- Operationally-safe peer-to-peer energy trading in distribution grids: A game-theoretic market-clearing mechanismIEEE Transactions on Smart Grid, 2022
- Fast generalized Nash equilibrium seeking under partial-decision informationAutomatica, 2022
- Complete vehicle energy management using adaptive primal–dual operator splittingAutomatica, 2022
- Receding horizon games with coupling constraints for demand-side managementIn 2022 IEEE 61st Conference on Decision and Control (CDC), 2022
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Distributed generalized Nash equilibrium seeking: An operator-theoretic perspectiveIEEE Control Systems Magazine, 2022 - Compositional Design of Autonomous Systems: From Hardware Selection to Decision MakingIn Extended Abstract for the 26th International Symposium on Mathematical Theory of Networks and Systems, 2022
2021
- Semi-decentralized generalized Nash equilibrium seeking in monotone aggregative gamesIEEE Transactions on Automatic Control, 2021
- An asynchronous distributed and scalable generalized Nash equilibrium seeking algorithm for strongly monotone gamesEuropean Journal of Control, 2021
- Sampled-data online feedback equilibrium seeking: Stability and trackingIn 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
- Convergence in uncertain linear systemsAutomatica, 2020
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- Distributed generalized Nash equilibrium seeking in aggregative games on time-varying networksIEEE Transactions on Automatic Control, 2020
- Asynchronous and time-varying proximal type dynamics in multiagent network gamesIEEE Transactions on Automatic Control, 2020
- Time-varying constrained proximal type dynamics in multi-agent network gamesIn 2020 European Control Conference (ECC), 2020
- Energy management and peer-to-peer trading in future smart grids: A distributed game-theoretic approachIn 2020 European Control Conference (ECC), 2020
- A fully-distributed proximal-point algorithm for Nash equilibrium seeking with linear convergence rateIn 2020 59th IEEE Conference on Decision and Control (CDC), 2020
2019
- A shrinking-horizon, game-theoretic algorithm for distributed energy generation and storage in the smart grid with wind forecastingIFAC-PapersOnLine, 2019
- A distributed proximal-point algorithm for Nash equilibrium seeking in generalized potential games with linearly coupled cost functionsIn 2019 18th European Control Conference (ECC), 2019
- Distributed generalized Nash equilibrium seeking in aggregative games under partial-decision information via dynamic trackingIn 2019 IEEE 58th Conference on Decision and Control (CDC), 2019
- An asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithmIn 2019 18th European Control Conference (ECC), 2019
2018
- Study and development of a fluorescence based sensor system for monitoring oxygen in wine production: The WOW projectSensors, 2018
- On the convergence of discrete-time linear systems: A linear time-varying mann iteration converges iff its operator is strictly pseudocontractiveIEEE Control Systems Letters, 2018
- A Douglas-Rachford splitting for semi-decentralized equilibrium seeking in generalized aggregative gamesIn 2018 IEEE Conference on Decision and Control (CDC), 2018
- Projected-gradient algorithms for Generalized Equilibrium seeking in Aggregative Games are preconditioned Forward-Backward methodsIn 2018 European Control Conference (ECC), 2018
2017
- Semi-decentralized Nash equilibrium seeking in aggregative games with separable coupling constraints and non-differentiable cost functionsIEEE control systems letters, 2017
- On convexity and monotonicity in generalized aggregative gamesIFAC-PapersOnLine, 2017
2016
- Distributed partitioning strategies with visual optimization for camera network perimeter patrollingIn 2016 IEEE 55th Conference on Decision and Control (CDC), 2016
2015
- Home automation oriented gesture classification from inertial measurementsIEEE Transactions on automation science and engineering, 2015
2014
- A machine learning based approach for gesture recognition from inertial measurementsIn 53rd IEEE Conference on Decision and Control, 2014