Kostas Margellos

125 papers C 5Journal 77Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
Convex Co-Design of Control Barrier Functions and State Feedback Controllers for Linear Systems With Input Constraints.
IEEE Trans. Autom. Control.
Han Wang, Kostas Margellos, Antonis Papachristodoulou, Claudio De Persis
2026 J jnl
Data-driven certificate synthesis.
Autom.
Luke Rickard, Alessandro Abate, Kostas Margellos
2026 J jnl
Finite sample learning of moving targets.
Autom.
Nikolaus Vertovec, Kostas Margellos, Maria Prandini
2025 — conf
Bridging conformal prediction and scenario optimization.
CDC
Niall O'Sullivan, Licio Romao, Kostas Margellos
2025 J jnl
Bridging conformal prediction and scenario optimization.
CoRR
Niall O'Sullivan, Licio Romao, Kostas Margellos
2025 J jnl
Constraint Horizon in Model Predictive Control.
CoRR
Allan Andre do Nascimento, Han Wang, Antonis Papachristodoulou, Kostas Margellos
2025 J jnl
Constraint Horizon in Model Predictive Control.
IEEE Control. Syst. Lett.
Allan Andre do Nascimento, Han Wang, Antonis Papachristodoulou, Kostas Margellos
2025 — conf
Continuous-time Data-driven Barrier Certificate Synthesis.
CDC
Luke Rickard, Alessandro Abate, Kostas Margellos
2025 J jnl
Continuous-time Data-driven Barrier Certificate Synthesis.
CoRR
Luke Rickard, Alessandro Abate, Kostas Margellos
2025 J jnl
Data-Driven Neural Certificate Synthesis.
CoRR
Luke Rickard, Alessandro Abate, Kostas Margellos
2025 — conf
Data-Driven Performance Guarantees for Parametric Optimization Problems.
CDC
Jingyi Huang, Paul Goulart, Kostas Margellos
2025 J jnl
Distributed Momentum-Based Multiagent Optimization With Different Constraint Sets.
IEEE Trans. Autom. Control.
Xu Zhou, Zhongjing Ma, Suli Zou, Kostas Margellos
2025 J jnl
Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens.
CoRR
Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano
2025 J jnl
Distributed safe control design and probabilistic safety verification for multi-agent systems.
Autom.
Han Wang, Antonis Papachristodoulou, Kostas Margellos
2025 — conf
Distributionally Robust Adversarial Attacks with Mirrored Loss.
CDC
André Bertolace, Konstantinos Gatsis, Kostas Margellos
2025 J jnl
Model Predictive Control with Multiple Constraint Horizons.
CoRR
Allan Andre do Nascimento, Han Wang, Antonis Papachristodoulou, Kostas Margellos
2025 — conf
Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions.
ECC
Jingyi Huang, Han Wang, Kostas Margellos, Paul Goulart
2024 — ed.
6th Annual Learning for Dynamics & Control Conference, 15-17 July 2024, University of Oxford, Oxford, UK.
L4DC
Alessandro Abate, Mark Cannon, Kostas Margellos, Antonis Papachristodoulou
2024 J jnl
A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria.
Autom.
Georgios Pantazis, Filiberto Fele, Kostas Margellos
2024 J jnl
Convex Co-Design of Control Barrier Function and Safe Feedback Controller Under Input Constraints.
CoRR
Han Wang, Kostas Margellos, Antonis Papachristodoulou, Claudio De Persis
2024 — conf
Convex Co-Design of Mixed-Relative Degree Control Barrier Functions and Feedback Controllers for Linear Systems.
CDC
Han Wang, Kostas Margellos, Antonis Papachristodoulou, Claudio De Persis
2024 — conf
Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens.
CDC
Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano
2024 J jnl
Finite sample learning of moving targets.
CoRR
Nikolaus Vertovec, Kostas Margellos, Maria Prandini
2024 — conf
Learning robust policies for uncertain parametric Markov decision processes.
L4DC
Luke Rickard, Alessandro Abate, Kostas Margellos
2024 — conf
Probabilistically safe controllers based on control barrier functions and scenario model predictive control.
CDC
Allan Andre do Nascimento, Antonis Papachristodoulou, Kostas Margellos
2024 J jnl
Probabilistically safe controllers based on control barrier functions and scenario model predictive control.
CoRR
Allan Andre do Nascimento, Antonis Papachristodoulou, Kostas Margellos
2024 — conf
Probably approximately correct stability of allocations in uncertain coalitional games with private sampling.
L4DC
George Pantazis, Filiberto Fele, Filippo Fabiani, Sergio Grammatico, Kostas Margellos
2024 — conf
Robust optimization for adversarial learning with finite sample complexity guarantees.
CDC
André Bertolace, Konstantinos Gatsis, Kostas Margellos
2024 J jnl
Robust optimization for adversarial learning with finite sample complexity guarantees.
CoRR
André Bertolace, Konstantinos Gatsis, Kostas Margellos
2024 J jnl
Safe and Stable Filter Design Using a Relaxed Compatibitlity Control Barrier - Lyapunov Condition.
CoRR
Han Wang, Kostas Margellos, Antonis Papachristodoulou
2024 J jnl
Tracking-Based Distributed Equilibrium Seeking for Aggregative Games.
IEEE Trans. Autom. Control.
Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano
2023 — conf
A Game Theoretic Approach for Safe and Distributed Control of Unmanned Aerial Vehicles.
CDC
Allan Andre do Nascimento, Antonis Papachristodoulou, Kostas Margellos
2023 J jnl
Distributed Control Design and Safety Verification for Multi-Agent Systems.
CoRR
Han Wang, Antonis Papachristodoulou, Kostas Margellos
2023 — conf
Distributed Safety Verification for Multi-Agent Systems.
CDC
Han Wang, Antonis Papachristodoulou, Kostas Margellos
2023 — conf
Distributionally robust stability of payoff allocations in stochastic coalitional games.
CDC
George Pantazis, Barbara Franci, Sergio Grammatico, Kostas Margellos
2023 J jnl
Distributionally robust stability of payoff allocations in stochastic coalitional games.
CoRR
George Pantazis, Barbara Franci, Sergio Grammatico, Kostas Margellos
2023 — conf
Homomorphically Encrypted Gradient Descent Algorithms for Quadratic Programming.
CDC
André Bertolace, Konstantinos Gatsis, Kostas Margellos
2023 J jnl
Homomorphically encrypted gradient descent algorithms for quadratic programming.
CoRR
André Bertolace, Konstantinos Gatsis, Kostas Margellos
2023 J jnl
Learning Robust Policies for Uncertain Parametric Markov Decision Processes.
CoRR
Luke Rickard, Alessandro Abate, Kostas Margellos
2023 J jnl
Multi-objective low-thrust spacecraft trajectory design using reachability analysis.
Eur. J. Control
Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos
2023 J jnl
On the Exact Feasibility of Convex Scenario Programs With Discarded Constraints.
IEEE Trans. Autom. Control.
Licio Romao, Antonis Papachristodoulou, Kostas Margellos
2023 J jnl
On the Sensitivity of Linear Resource Sharing Problems to the Arrival of New Agents.
IEEE Trans. Autom. Control.
Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti
2023 J jnl
Probabilistic feasibility guarantees for convex scenario programs with an arbitrary number of discarded constraints.
Autom.
Licio Romao, Kostas Margellos, Antonis Papachristodoulou
2023 J jnl
Probably approximately correct stability of allocations in uncertain coalitional games with private sampling.
CoRR
George Pantazis, Filiberto Fele, Filippo Fabiani, Sergio Grammatico, Kostas Margellos
2023 J jnl
State Aggregation for Distributed Value Iteration in Dynamic Programming.
CoRR
Nikolaus Vertovec, Kostas Margellos
2023 J jnl
State Aggregation for Distributed Value Iteration in Dynamic Programming.
IEEE Control. Syst. Lett.
Nikolaus Vertovec, Kostas Margellos
2022 J jnl
A Time-Triggered Dimension Reduction Algorithm for the Task Assignment Problem.
CoRR
Han Wang, Kostas Margellos, Antonis Papachristodoulou
2022 J jnl
A time-triggered dimension reduction algorithm for the task assignment problem.
Eur. J. Control
Han Wang, Kostas Margellos, Antonis Papachristodoulou
2022 J jnl
Convexity and Feedback in Approximate Dynamic Programming for Delivery Time Slot Pricing.
IEEE Trans. Control. Syst. Technol.
Denis Lebedev, Kostas Margellos, Paul Goulart
2022 — conf
Explicit Solutions for Safety Problems Using Control Barrier Functions.
CDC
Han Wang, Kostas Margellos, Antonis Papachristodoulou
2022 J jnl
Explicit Solutions for Safety Problems Using Control Barrier Functions.
CoRR
Han Wang, Kostas Margellos, Antonis Papachristodoulou
2022 J jnl
Gradient-bounded dynamic programming for submodular and concave extensible value functions with probabilistic performance guarantees.
Autom.
Denis Lebedev, Paul Goulart, Kostas Margellos
2022 J jnl
Locating Parking Hubs in Free-Floating Ride Share Systems via Data-Driven Optimization.
IEEE Trans. Intell. Transp. Syst.
Anmar I. Arif, Kostas Margellos
2022 J jnl
Multi-objective low-thrust spacecraft trajectory design using reachability analysis.
CoRR
Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos
2022 J jnl
On the probabilistic feasibility of solutions in multi-agent optimization problems under uncertainty.
Eur. J. Control
George Pantazis, Filiberto Fele, Kostas Margellos
2022 J jnl
Probabilistic Stabilizability Certificates for a Class of Black-Box Linear Systems.
IEEE Control. Syst. Lett.
Filippo Fabiani, Kostas Margellos, Paul J. Goulart
2022 J jnl
Probabilistic feasibility guarantees for solution sets to uncertain variational inequalities.
Autom.
Filippo Fabiani, Kostas Margellos, Paul J. Goulart
2022 J jnl
Probabilistically Robust Stabilizing Allocations in Uncertain Coalitional Games.
IEEE Control. Syst. Lett.
George Pantazis, Filippo Fabiani, Filiberto Fele, Kostas Margellos
2022 J jnl
Probabilistically robust stabilizing allocations in uncertain cooperative games.
CoRR
George Pantazis, Filippo Fabiani, Filiberto Fele, Kostas Margellos
2022 J jnl
Safe Controlled Invariance for Linear Systems Using Sum-of-Squares Programming.
CoRR
Han Wang, Kostas Margellos, Antonis Papachristodoulou
2022 J jnl
Safety Verification and Controller Synthesis for Systems with Input Constraints.
CoRR
Han Wang, Kostas Margellos, Antonis Papachristodoulou
2022 J jnl
Safety-Aware Hybrid Control of Airborne Wind Energy Systems.
CoRR
Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos
2022 J jnl
Safety-Aware Optimal Control in Motion Planning.
CoRR
Han Wang, Xuda Ding, Jianping He, Kostas Margellos, Antonis Papachristodoulou
2022 J jnl
Tracking-based distributed equilibrium seeking for aggregative games.
CoRR
Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano
2022 — conf
Verification of safety critical control policies using kernel methods.
ECC
Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos
2022 J jnl
Verification of safety critical control policies using kernel methods.
CoRR
Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos
2021 J jnl
A dynamic programming framework for optimal delivery time slot pricing.
Eur. J. Oper. Res.
Denis Lebedev, Paul Goulart, Kostas Margellos
2021 — conf
Multi-objective minimum time optimal control for low-thrust trajectory design.
ECC
Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos
2021 J jnl
Multi-objective minimum time optimal control for low-thrust trajectory design.
CoRR
Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos
2021 — conf
New results on resource sharing problems with random agent arrivals and an application to economic dispatch in power systems.
CDC
Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti
2021 J jnl
On the sensitivity of linear resource sharing problems to the arrival of new agents.
CoRR
Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti
2021 J jnl
Probabilistic stabilizability certificates for a class of black-box linear systems.
CoRR
Filippo Fabiani, Kostas Margellos, Paul J. Goulart
2021 J jnl
Probably Approximately Correct Nash Equilibrium Learning.
IEEE Trans. Autom. Control.
Filiberto Fele, Kostas Margellos
2021 J jnl
Subgradient averaging for multi-agent optimisation with different constraint sets.
Autom.
Licio Romao, Kostas Margellos, Giuseppe Notarstefano, Antonis Papachristodoulou
2021 — conf
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples.
L4DC
Licio Romao, Kostas Margellos, Antonis Papachristodoulou
2020 — conf
Agent independent probabilistic robustness certificates for robust optimization programs with uncertain quadratic cost.
CDC
George Pantazis, Filiberto Fele, Kostas Margellos
2020 J jnl
On the probabilistic feasibility of solutions in multi-agent optimization problems under uncertainty.
CoRR
George Pantazis, Filiberto Fele, Kostas Margellos
2020 — conf
On the robustness of equilibria in generalized aggregative games.
CDC
Filippo Fabiani, Kostas Margellos, Paul J. Goulart
2020 J jnl
On the robustness of equilibria in generalized aggregative games.
CoRR
Filippo Fabiani, Kostas Margellos, Paul J. Goulart
2020 J jnl
Probabilistic feasibility guarantees for solution sets to uncertain variational inequalities.
CoRR
Filippo Fabiani, Kostas Margellos, Paul J. Goulart
2020 — conf
Tight generalization guarantees for the sampling and discarding approach to scenario optimization.
CDC
Licio Romao, Kostas Margellos, Antonis Papachristodoulou
2019 — conf
A Concave Value Function Extension for the Dynamic Programming Approach to Revenue Management in Attended Home Delivery.
ECC
Denis Lebedev, Paul Goulart, Kostas Margellos
2019 J jnl
A decentralized approach to multi-agent MILPs: Finite-time feasibility and performance guarantees.
Autom.
Alessandro Falsone, Kostas Margellos, Maria Prandini
2019 J jnl
An incremental scenario approach for building energy management with uncertain occupancy.
CoRR
Arman Karshenas, Kostas Margellos, Simone Garatti
2019 — conf
Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets.
CDC
Licio Romao, Kostas Margellos, Giuseppe Notarstefano, Antonis Papachristodoulou
2019 — conf
Probabilistic sensitivity of Nash equilibria in multi-agent games: a wait-and-judge approach.
CDC
Filiberto Fele, Kostas Margellos
2019 J jnl
Probabilistic sensitivity of Nash equilibria in multi-agent games: a wait-and-judge approach.
CoRR
Filiberto Fele, Kostas Margellos
2019 J jnl
Regularized Jacobi Iteration for Decentralized Convex Quadratic Optimization With Separable Constraints.
IEEE Trans. Control. Syst. Technol.
Luca Deori, Kostas Margellos, Maria Prandini
2018 J jnl
A Distributed Iterative Algorithm for Multi-Agent MILPs: Finite-Time Feasibility and Performance Characterization.
IEEE Control. Syst. Lett.
Alessandro Falsone, Kostas Margellos, Maria Prandini
2018 J jnl
Distributed Actuator Selection: Achieving Optimality via a Primal-Dual Algorithm.
IEEE Control. Syst. Lett.
Licio Romao, Kostas Margellos, Antonis Papachristodoulou
2018 J jnl
Distributed Constrained Optimization and Consensus in Uncertain Networks via Proximal Minimization.
IEEE Trans. Autom. Control.
Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini
2018 J jnl
Finite-Time Distributed Averaging Over Gossip-Constrained Ring Networks.
IEEE Trans. Control. Netw. Syst.
Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
2018 J jnl
On the Convergence of a Regularized Jacobi Algorithm for Convex Optimization.
IEEE Trans. Autom. Control.
Goran Banjac, Kostas Margellos, Paul J. Goulart
2018 J jnl
Price of anarchy in electric vehicle charging control games: When Nash equilibria achieve social welfare.
Autom.
Luca Deori, Kostas Margellos, Maria Prandini
2017 — conf
A proximal minimization based distributed approach to power control in wireless networks: Performance and comparative analysis.
CDC
Stefano Mutti, Alessandro Falsone, Kostas Margellos, Maria Prandini
2017 J jnl
Dual decomposition for multi-agent distributed optimization with coupling constraints.
Autom.
Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
2017 — conf
Linear programs for resource sharing among heterogeneous agents: The effect of random agent arrivals.
CDC
Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
2016 J jnl
A Scenario Approach for Non-Convex Control Design.
IEEE Trans. Autom. Control.
Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul J. Goulart, John Lygeros
2016 — conf
Constrained optimal control of stochastic switched affine systems using randomization.
ECC
Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini
2016 — conf
Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization.
CDC
Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
2016 — conf
On decentralized convex optimization in a multi-agent setting with separable constraints and its application to optimal charging of electric vehicles.
CDC
Luca Deori, Kostas Margellos, Maria Prandini
2016 J jnl
On the computational complexity and generalization properties of multi-stage and stage-wise coupled scenario programs.
Syst. Control. Lett.
Nikolaos Kariotoglou, Kostas Margellos, John Lygeros
2016 C conf
Proximal minimization based distributed convex optimization.
ACC
Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini
2015 C conf
A fuse control paradigm for demand side management: Formulation and stochastic pricing analysis.
ACC
Kostas Margellos, Shmuel S. Oren
2015 J jnl
On the Connection Between Compression Learning and Scenario Based Single-Stage and Cascading Optimization Problems.
IEEE Trans. Autom. Control.
Kostas Margellos, Maria Prandini, John Lygeros
2014 — conf
A compression learning perspective to scenario based optimization.
CDC
Kostas Margellos, Maria Prandini, John Lygeros
2014 J jnl
A scenario approach for non-convex control design.
CoRR
Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros
2014 C conf
A scenario approach to non-convex control design: Preliminary probabilistic guarantees.
ACC
Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros
2014 J jnl
On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems.
IEEE Trans. Autom. Control.
Kostas Margellos, Paul Goulart, John Lygeros
2014 J jnl
On the computational complexity and generalization properties of multi-stage and recursive scenario programs.
CoRR
Nikolaos Kariotoglou, Kostas Margellos, John Lygeros
2014 J jnl
On the connection between compression learning and scenario based optimization.
CoRR
Kostas Margellos, Maria Prandini, John Lygeros
2013 — conf
Reserve requirements in AC power systems with uncertain generation.
ISGT Europe
Vahab Rostampour, Kostas Margellos, Maria Vrakopoulou, Maria Prandini, Göran Andersson, John Lygeros
2013 — conf
Stochastic Model Predictive Control using a combination of randomized and robust optimization.
CDC
Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros
2013 — conf
Stochastic unit commitment and reserve scheduling: A tractable formulation with probabilistic certificates.
ECC
Kostas Margellos, Vahab Rostampour, Maria Vrakopoulou, Maria Prandini, Göran Andersson, John Lygeros
2013 J jnl
Toward 4-D Trajectory Management in Air Traffic Control: A Study Based on Monte Carlo Simulation and Reachability Analysis.
IEEE Trans. Control. Syst. Technol.
Kostas Margellos, John Lygeros
2012 — conf
Cyber-security of SCADA systems.
ISGT
Göran Andersson, Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros, André Teixeira, György Dán, Henrik Sandberg, Karl Henrik Johansson
2012 — conf
Revisiting the Viability Algorithm for Hybrid Systems Using Optimal Control.
ADHS
Kostas Margellos, John Lygeros
2011 J jnl
Hamilton-Jacobi Formulation for Reach-Avoid Differential Games.
IEEE Trans. Autom. Control.
Kostas Margellos, John Lygeros
2011 — conf
Nonlinear control of wind turbines: An approach based on switched linear systems and feedback linearization.
CDC/ECC
Ralph Burkart, Kostas Margellos, John Lygeros
2010 — conf
A robust policy for Automatic Generation Control cyber attack in two area power network.
CDC
Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros, Göran Andersson
2010 — conf
A simulation based MPC technique for feedback linearizable systems with input constraints.
CDC
Kostas Margellos, John Lygeros
2010 C conf
Cyber attack in a two-area power system: Impact identification using reachability.
ACC
Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros, Göran Andersson
2010 C conf
Hamilton-Jacobi formulation for reach-avoid problems with an application to air traffic management.
ACC
Kostas Margellos, John Lygeros
2009 — conf
A viability approach for the stabilization of an underactuated underwater vehicle in the presence of current disturbances.
CDC
Dimitra Panagou, Kostas Margellos, Sean Summers, John Lygeros, Kostas J. Kyriakopoulos
2009 — conf
Air traffic management with target windows: An approach using reachability.
CDC
Kostas Margellos, John Lygeros