Kostas Margellos

Orcid: 0000-0001-8865-8568

According to our database1, Kostas Margellos authored at least 81 papers between 2009 and 2024.

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Bibliography

2024
Robust optimization for adversarial learning with finite sample complexity guarantees.
CoRR, 2024

Convex Co-Design of Control Barrier Function and Safe Feedback Controller Under Input Constraints.
CoRR, 2024

2023
Probabilistic feasibility guarantees for convex scenario programs with an arbitrary number of discarded constraints.
Autom., March, 2023

Multi-objective low-thrust spacecraft trajectory design using reachability analysis.
Eur. J. Control, January, 2023

On the Exact Feasibility of Convex Scenario Programs With Discarded Constraints.
IEEE Trans. Autom. Control., 2023

On the Sensitivity of Linear Resource Sharing Problems to the Arrival of New Agents.
IEEE Trans. Autom. Control., 2023

State Aggregation for Distributed Value Iteration in Dynamic Programming.
IEEE Control. Syst. Lett., 2023

Probably approximately correct stability of allocations in uncertain coalitional games with private sampling.
CoRR, 2023

Learning Robust Policies for Uncertain Parametric Markov Decision Processes.
CoRR, 2023

Distributed Control Design and Safety Verification for Multi-Agent Systems.
CoRR, 2023

Distributed Safety Verification for Multi-Agent Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Distributionally robust stability of payoff allocations in stochastic coalitional games.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Game Theoretic Approach for Safe and Distributed Control of Unmanned Aerial Vehicles.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Homomorphically Encrypted Gradient Descent Algorithms for Quadratic Programming.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Locating Parking Hubs in Free-Floating Ride Share Systems via Data-Driven Optimization.
IEEE Trans. Intell. Transp. Syst., 2022

Convexity and Feedback in Approximate Dynamic Programming for Delivery Time Slot Pricing.
IEEE Trans. Control. Syst. Technol., 2022

A time-triggered dimension reduction algorithm for the task assignment problem.
Eur. J. Control, 2022

On the probabilistic feasibility of solutions in multi-agent optimization problems under uncertainty.
Eur. J. Control, 2022

Probabilistically Robust Stabilizing Allocations in Uncertain Coalitional Games.
IEEE Control. Syst. Lett., 2022

Probabilistic Stabilizability Certificates for a Class of Black-Box Linear Systems.
IEEE Control. Syst. Lett., 2022

Safety-Aware Hybrid Control of Airborne Wind Energy Systems.
CoRR, 2022

Tracking-based distributed equilibrium seeking for aggregative games.
CoRR, 2022

Safe Controlled Invariance for Linear Systems Using Sum-of-Squares Programming.
CoRR, 2022

Safety-Aware Optimal Control in Motion Planning.
CoRR, 2022

Safety Verification and Controller Synthesis for Systems with Input Constraints.
CoRR, 2022

Probabilistically robust stabilizing allocations in uncertain cooperative games.
CoRR, 2022

Gradient-bounded dynamic programming for submodular and concave extensible value functions with probabilistic performance guarantees.
Autom., 2022

Probabilistic feasibility guarantees for solution sets to uncertain variational inequalities.
Autom., 2022

Verification of safety critical control policies using kernel methods.
Proceedings of the European Control Conference, 2022

Explicit Solutions for Safety Problems Using Control Barrier Functions.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Probably Approximately Correct Nash Equilibrium Learning.
IEEE Trans. Autom. Control., 2021

A dynamic programming framework for optimal delivery time slot pricing.
Eur. J. Oper. Res., 2021

Subgradient averaging for multi-agent optimisation with different constraint sets.
Autom., 2021

Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Multi-objective minimum time optimal control for low-thrust trajectory design.
Proceedings of the 2021 European Control Conference, 2021

New results on resource sharing problems with random agent arrivals and an application to economic dispatch in power systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Tight generalization guarantees for the sampling and discarding approach to scenario optimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Agent independent probabilistic robustness certificates for robust optimization programs with uncertain quadratic cost.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

On the robustness of equilibria in generalized aggregative games.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Regularized Jacobi Iteration for Decentralized Convex Quadratic Optimization With Separable Constraints.
IEEE Trans. Control. Syst. Technol., 2019

An incremental scenario approach for building energy management with uncertain occupancy.
CoRR, 2019

A decentralized approach to multi-agent MILPs: Finite-time feasibility and performance guarantees.
Autom., 2019

A Concave Value Function Extension for the Dynamic Programming Approach to Revenue Management in Attended Home Delivery.
Proceedings of the 17th European Control Conference, 2019

Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Probabilistic sensitivity of Nash equilibria in multi-agent games: a wait-and-judge approach.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Finite-Time Distributed Averaging Over Gossip-Constrained Ring Networks.
IEEE Trans. Control. Netw. Syst., 2018

Distributed Constrained Optimization and Consensus in Uncertain Networks via Proximal Minimization.
IEEE Trans. Autom. Control., 2018

On the Convergence of a Regularized Jacobi Algorithm for Convex Optimization.
IEEE Trans. Autom. Control., 2018

Distributed Actuator Selection: Achieving Optimality via a Primal-Dual Algorithm.
IEEE Control. Syst. Lett., 2018

A Distributed Iterative Algorithm for Multi-Agent MILPs: Finite-Time Feasibility and Performance Characterization.
IEEE Control. Syst. Lett., 2018

Price of anarchy in electric vehicle charging control games: When Nash equilibria achieve social welfare.
Autom., 2018

2017
Dual decomposition for multi-agent distributed optimization with coupling constraints.
Autom., 2017

A proximal minimization based distributed approach to power control in wireless networks: Performance and comparative analysis.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Linear programs for resource sharing among heterogeneous agents: The effect of random agent arrivals.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
A Scenario Approach for Non-Convex Control Design.
IEEE Trans. Autom. Control., 2016

On the computational complexity and generalization properties of multi-stage and stage-wise coupled scenario programs.
Syst. Control. Lett., 2016

Constrained optimal control of stochastic switched affine systems using randomization.
Proceedings of the 15th European Control Conference, 2016

Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On decentralized convex optimization in a multi-agent setting with separable constraints and its application to optimal charging of electric vehicles.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Proximal minimization based distributed convex optimization.
Proceedings of the 2016 American Control Conference, 2016

2015
On the Connection Between Compression Learning and Scenario Based Single-Stage and Cascading Optimization Problems.
IEEE Trans. Autom. Control., 2015

A fuse control paradigm for demand side management: Formulation and stochastic pricing analysis.
Proceedings of the American Control Conference, 2015

2014
On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems.
IEEE Trans. Autom. Control., 2014

On the connection between compression learning and scenario based optimization.
CoRR, 2014

On the computational complexity and generalization properties of multi-stage and recursive scenario programs.
CoRR, 2014

A compression learning perspective to scenario based optimization.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A scenario approach to non-convex control design: Preliminary probabilistic guarantees.
Proceedings of the American Control Conference, 2014

2013
Toward 4-D Trajectory Management in Air Traffic Control: A Study Based on Monte Carlo Simulation and Reachability Analysis.
IEEE Trans. Control. Syst. Technol., 2013

Reserve requirements in AC power systems with uncertain generation.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

Stochastic unit commitment and reserve scheduling: A tractable formulation with probabilistic certificates.
Proceedings of the 12th European Control Conference, 2013

Stochastic Model Predictive Control using a combination of randomized and robust optimization.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Cyber-security of SCADA systems.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012

Revisiting the Viability Algorithm for Hybrid Systems Using Optimal Control.
Proceedings of the 4th IFAC Conference on Analysis and Design of Hybrid Systems, 2012

2011
Hamilton-Jacobi Formulation for Reach-Avoid Differential Games.
IEEE Trans. Autom. Control., 2011

Nonlinear control of wind turbines: An approach based on switched linear systems and feedback linearization.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
A simulation based MPC technique for feedback linearizable systems with input constraints.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A robust policy for Automatic Generation Control cyber attack in two area power network.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Hamilton-Jacobi formulation for reach-avoid problems with an application to air traffic management.
Proceedings of the American Control Conference, 2010

Cyber attack in a two-area power system: Impact identification using reachability.
Proceedings of the American Control Conference, 2010

2009
A viability approach for the stabilization of an underactuated underwater vehicle in the presence of current disturbances.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Air traffic management with target windows: An approach using reachability.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


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