Maryam Kamgarpour

EPFL STI IGM SYCAMORE
ME C1 400 (Bâtiment ME)
Station 9
1015 Lausanne

Prix et distinctions

European Control Association

2024

No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing

A. M. MadduxM. MaljkovicN. GeroliminisM. Kamgarpour

2025 IEEE 64th Conference on Decision and Control (CDC). 2025. 2025 IEEE 64th Conference on Decision and Control (CDC), Rio de Janeiro, Brazil, 2025-12-09 - 2025-12-12. p. 4009 - 4014. DOI : 10.1109/cdc57313.2025.11312071.

Rollout, Policy Iteration, and Distributed Reinforcement Learning [Book Review]

D. P. BertsekasM. Kamgarpour

IEEE Control Systems. 2025. Vol. 45, num. 6, p. 134 - 136. DOI : 10.1109/mcs.2025.3615016.

On Linear Quadratic Potential Games☆

S. HosseiniradG. SalizzoniA. A. PorzaniM. Kamgarpour

AUTOMATICA. 2025. Vol. 183. DOI : 10.1016/j.automatica.2025.112643.

Publisher's Note

T. TatarenkoM. Kamgarpour

European Journal of Control. 2025. Vol. 85. DOI : 10.1016/j.ejcon.2025.101320.

Learning to Assemble with Alternative Plans

Z. WangW. LiuJ. WangG. VallatF. Shi  et al.

ACM Transactions on Graphics. 2025. Vol. 44, num. 4, p. 1 - 16. DOI : 10.1145/3730824.

Nash equilibria in scalar discrete-time linear quadratic games

G. SalizzoniR. OuhammaM. Kamgarpour

2025 European Control Conference (ECC). 2025. 2025 European Control Conference (ECC), Thessaloniki, Greece, 2025-06-24 - 2025-06-27. p. 2416 - 2421. DOI : 10.23919/ecc65951.2025.11187226.

Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design

A. SchlaginhaufenR. OuhammaM. Kamgarpour

2025

A learning-based approach to stochastic optimal control under reach-avoid constraint

T. NiM. Kamgarpour

HSCC '25: Proceedings of the 28th ACM International Conference on Hybrid Systems: Computation and Control. 2025. 28th ACM International Conference on Hybrid Systems: Computation and Control (HSCC 2025)., Irvine CA USA, 2025-05-06 - 2025-05-09. p. 1 - 8. DOI : 10.1145/3716863.3718055.

Safe optimization with grey-box information: Application to composites autoclave processing improvement on the fly

M. A. RoohiM. RamezankhaniM. KamgarpourA. S. Milani

Composites Part C: Open Access. 2025. Vol. 16, p. 100560. DOI : 10.1016/j.jcomc.2025.100560.

Safe Zeroth-order Optimization Using Quadratic Local Approximations

B. GuoY. JiangG. Ferrari-TrecateM. Kamgarpour

AUTOMATICA. 2025. Vol. 174. DOI : 10.1016/j.automatica.2025.112141.

On the Convergence of Gradient Descent in Scalar Two-Agent Infinite-Horizon LQ Games

G. SalizzoniM. Kamgarpour

IEEE Control Systems Letters. 2025. p. 1 - 1. DOI : 10.1109/lcsys.2025.3574107.

Chance-Constrained Linear Quadratic Gaussian Games for Multi-Robot Interaction Under Uncertainty

K. RenG. SalizzoniM. E. GürsoyM. Kamgarpour

IEEE Control Systems Letters. 2025. p. 1 - 1. DOI : 10.1109/lcsys.2025.3588090.

Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm

T. RenardA. SchlaginhaufenT. NiM. Kamgarpour

Proceedings of the IEEE Conference on Decision and Control. 2024. 63rd IEEE Conference on Decision and Control, Milan, Italy, 2024-12-16 - 2024-12-19. p. 8258 - 8263. DOI : 10.1109/CDC56724.2024.10886001.

Aircraft Trajectory Planning for Climate Hotspot Avoidance Considering Air Traffic Complexity: A Constrained Multi-Agent Reinforcement Learning Approach

F. BaneshiM. Cerezo MagañaM. SolerT. NiM. Kamgarpour

2024. SESAR Innovation Days 2024, Rome, 2024-11-12 - 2024-11-15.

Recursively Feasible Chance-Constrained Model Predictive Control Under Gaussian Mixture Model Uncertainty

K. RenC. ChenH. SungH. AhnI. M. Mitchell  et al.

IEEE Transactions on Control Systems Technology. 2024. p. 1 - 14. DOI : 10.1109/TCST.2024.3477089.

Learning to bid in forward electricity markets using a no-regret algorithm

A. Getaneh AbateD. MajdiJ. KazempourM. Kamgarpour

Electric Power Systems Research. 2024. Vol. 234, p. 110693. DOI : 10.1016/j.epsr.2024.110693.

Payoff-Based Learning of Nash Equilibria in Merely Monotone Games

T. TatarenkoM. Kamgarpour

IEEE Transactions on Control of Network Systems. 2024. p. 1 - 12. DOI : 10.1109/TCNS.2024.3355035.

Multi-Agent Learning in Contextual Games under Unknown Constraints

M. KamgarpourA. M. Maddux

2024. 27th International Conference on Artificial Intelligence and Statistics, Palau de Congressos, Valencia, Spain, 2024-05-02 - 2024-05-04.

Reinforcement learning for scaffold-free construction of spanning-structures

G. VallatJ. WangA. M. MadduxM. KamgarpourS. Parascho

8Th Acm Symposium On Computational Fabrication, Scf 2023. 2023. 8th ACM Symposium on Computational Fabrication (SCF), New York, NY, OCT 08-10, 2023. DOI : 10.1145/3623263.3623359.

Certification of Bottleneck Task Assignment With Shortest Path Criteria

M. KamgarpourT. A. Wood

IEEE Robotics and Automation. 2023. Vol. 8, p. 4545 - 4552. DOI : 10.1109/LRA.2023.3286815.

Provable Convergence Guarantees for Constrained Inverse Reinforcement Learning

T. Renard

2023

Constrained Inverse Reinforcement Learning: Challenges and Solutions for Real World Implementation

P. Chassagne

2023

Learning to make mixed-integer robot motion planning easy

T. Lewko

2023

Multi-agent Reinforcement Learning for Assembly of a Spanning Structure

G. Vallat

2023

Identifiability and Generalizability in Constrained Inverse Reinforcement Learning

A. SchlaginhaufenM. Kamgarpour

2023. International Conference on Machine Learning, Honolulu, Hawaï, July 23-29, 2023.

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

B. Guo

Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-10304.

Multi-robot task allocation for safe planning against stochastic hazard dynamics

M. KamgarpourD. TihanyiY. LuO. Karaca

2023 European Control Conference, Ecc. 2023. European Control Conference (ECC), Bucharest, Romania, June 13-16, 2023. DOI : 10.23919/ECC57647.2023.10178126.

Safe Zeroth-Order Optimization Using Linear Programs

B. GuoY. WangY. JiangM. KamgarpourG. Ferrari-Trecate

2023 62Nd Ieee Conference On Decision And Control, Cdc. 2023. 62nd IEEE Conference on Decision and Control (CDC), Singapore, SINGAPORE, DEC 13-15, 2023. p. 556 - 561.

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations

B. GuoY. JiangM. KamgarpourG. Ferrari Trecate

2023 European Control Conference, Ecc. 2023. 21st European Control Conference - ECC2023, Bucharest, Romania, June 13-16, 2023. DOI : 10.23919/ECC57647.2023.10178374.

Enabling inter-area reserve exchange through stable benefit allocation mechanisms *

O. KaracaS. DelikaraoglouG. HugM. Kamgarpour

Omega-International Journal Of Management Science. 2022. Vol. 113, p. 102711. DOI : 10.1016/j.omega.2022.102711.

Iterative Graph Deformation for Aircraft Trajectory Planning Considering Ensemble Forecasting of Thunderstorms

E. AndresD. González-ArribasM. SolerM. KamgarpourM. Sanjurjo-Rivo  et al.

SSRN Electronic Journal. 2022. DOI : 10.2139/ssrn.4215235.

Optimal Task Assignment and Collision Avoidance for Mobile Robots

D. Hollosi

2022

Coordination and control of a group of ground robots

P. Chassagne

2022

Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty

K. RenH. AhnM. Kamgarpour

Ieee Control Systems Letters. 2022. Vol. 7, p. 13 - 18. DOI : 10.1109/LCSYS.2022.3186269.

System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation

Y. ZhengL. FurieriM. KamgarpourN. Li

Automatica. 2022. Vol. 140, p. 110211. DOI : 10.1016/j.automatica.2022.110211.

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation

P. G. SessaM. KamgarpourA. Krause

International Conference On Machine Learning, Vol 162. 2022. 38th International Conference on Machine Learning (ICML), Baltimore, MD, Jul 17-23, 2022. p. 19580 - 19597.

Safe Motion Planning against Multimodal Distributions Based on a Scenario Approach

H. AhnC. ChenI. MitchellM. Kamgarpour

IEEE Control Systems Letters. 2022. Vol. 6, p. 1142 - 1147. DOI : 10.1109/LCSYS.2021.3089641.

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

P. G. SessaI. BogunovicA. KrauseM. Kamgarpour

Proceedings of the 38th International Conference on Machine Learning. 2021. International Conference on Machine Learning, 2021-07-01. p. 9455 - 9464.

Fast Projection Onto Convex Smooth Constraints

I. UsmanovaM. KamgarpourA. KrauseK. Levy

Proceedings of the 38th International Conference on Machine Learning. 2021. International Conference on Machine Learning, 2021-07-01. p. 10476 - 10486.

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems

Y. ZhengL. FurieriM. KamgarpourN. Li

Proceedings of the 3rd Conference on Learning for Dynamics and Control. 2021. Learning for Dynamics and Control, 2021-05-29. p. 559 - 570.

Multi-robot task allocation for safe planning against stochastic hazard dynamics

D. TihanyiY. LuO. KaracaM. Kamgarpour

2021

A comment on performance guarantees of a greedy algorithm for minimizing a supermodular set function on comatroid

O. KaracaB. GuoM. Kamgarpour

European Journal Of Operational Research. 2021. Vol. 290, num. 1, p. 401 - 403. DOI : 10.1016/j.ejor.2020.07.047.

Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids

A. ElahidoostL. FurieriM. KamgarpourE. Tedeschi

Ieee Access. 2021. Vol. 9, p. 98731 - 98745. DOI : 10.1109/ACCESS.2021.3096291.

A market-based approach for enabling inter-area reserve exchange

O. KaracaS. DelikaraoglouM. Kamgarpour

Operations Research Letters. 2021. Vol. 49, num. 4, p. 501 - 506. DOI : 10.1016/j.orl.2021.05.009.

RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts

E. AndrésM. KamgarpourM. SolerM. Sanjurjo-RivoD. González-Arribas

Lecture Notes in Electrical Engineering. 2021. Vol. 731 LNEE, p. 245 - 258. DOI : 10.1007/978-981-33-4669-7_14.

Bandit Online Learning of Nash Equilibria in Monotone Games

T. TatarenkoM. Kamgarpour

2021

Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid

O. KaracaD. TihanyiM. Kamgarpour

Operations Research Letters. 2021. Vol. 49, num. 6, p. 855 - 861. DOI : 10.1016/j.orl.2021.09.006.

Trajectory planning under environmental uncertainty with finite-sample safety guarantees

V. LefkopoulosM. Kamgarpour

Automatica. 2021. Vol. 131, p. 109754. DOI : 10.1016/j.automatica.2021.109754.

Informed scenario-based RRT∗ for aircraft trajectory planning under ensemble forecasting of thunderstorms

E. AndrésD. González-ArribasM. SolerM. KamgarpourM. Sanjurjo-Rivo

Transportation Research Part C: Emerging Technologies. 2021. Vol. 129, p. 103232. DOI : 10.1016/j.trc.2021.103232.

Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness

B. GuoO. KaracaS. AzhdariM. KamgarpourG. Ferrari-Trecate

2021 60Th Ieee Conference On Decision And Control (Cdc). 2021. 60th IEEE Conference on Decision and Control (CDC), ELECTR NETWORK, Dec 13-17, 2021. p. 5294 - 5299. DOI : 10.1109/CDC45484.2021.9683002.

On the Equivalence of Youla, System-Level, and Input-Output Parameterizations

Y. ZhengL. FurieriA. PapachristodoulouN. LiM. Kamgarpour

IEEE Transactions on Automatic Control. 2021. Vol. 66, num. 1, p. 413 - 420. DOI : 10.1109/TAC.2020.2979785.

Safe non-smooth black-box optimization with application to policy search

I. UsmanovaA. KrauseM. Kamgarpour

Proceedings of the 2nd Conference on Learning for Dynamics and Control. 2020. Learning for Dynamics and Control, 2020-07-31. p. 980 - 989.

Learning the Globally Optimal Distributed LQ Regulator

L. FurieriY. ZhengM. Kamgarpour

Proceedings of the 2nd Conference on Learning for Dynamics and Control. 2020. Learning for Dynamics and Control, 2020-07-31. p. 287 - 297.

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

L. FurieriM. Kamgarpour

2020 American Control Conference (ACC). 2020. 2020 American Control Conference (ACC), Denver, CO, USA, 2020-07. p. 4588 - 4593. DOI : 10.23919/ACC45564.2020.9147358.

Mixed Strategies for Robust Optimization of Unknown Objectives

P. G. SessaI. BogunovicM. KamgarpourA. Krause

Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics. 2020. International Conference on Artificial Intelligence and Statistics, 2020-06-03. p. 2970 - 2980.

Distributed Design for Decentralized Control using Chordal Decomposition and ADMM

Y. ZhengM. KamgarpourA. SootlaA. Papachristodoulou

IEEE Transactions on Control of Network Systems. 2020. Vol. 7, num. 2, p. 614 - 626. DOI : 10.1109/TCNS.2019.2935618.

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Y. ZhengL. FurieriM. KamgarpourN. Li

2020

Minimizing Regret of Bandit Online Optimization in Unconstrained Action Spaces

T. TatarenkoM. Kamgarpour

2020

Safe Mission Planning under Dynamical Uncertainties

Y. LuM. Kamgarpour

2020 IEEE International Conference on Robotics and Automation (ICRA). 2020. 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020-05. p. 2209 - 2215. DOI : 10.1109/ICRA40945.2020.9196515.

Core-Selecting Mechanisms in Electricity Markets

O. KaracaM. Kamgarpour

IEEE Transactions on Smart Grid. 2020. Vol. 11, num. 3, p. 2604 - 2614. DOI : 10.1109/TSG.2019.2958710.

Learning to Play Sequential Games versus Unknown Opponents

P. G. SessaI. BogunovicM. KamgarpourA. Krause

Advances in Neural Information Processing Systems. 2020. p. 8971 - 8981.

Contextual Games: Multi-Agent Learning with Side Information

P. G. SessaI. BogunovicA. KrauseM. Kamgarpour

Advances in Neural Information Processing Systems. 2020. p. 21912 - 21922.

No-Regret Learning from Partially Observed Data in Repeated Auctions

O. KaracaP. G. SessaA. LeidiM. Kamgarpour

IFAC-PapersOnLine. 2020. Vol. 53, num. 2, p. 14 - 19. DOI : 10.1016/j.ifacol.2020.12.029.

Sparsity Invariance for Convex Design of Distributed Controllers

L. FurieriY. ZhengA. PapachristodoulouM. Kamgarpour

IEEE Transactions on Control of Network Systems. 2020. Vol. 7, num. 4, p. 1836 - 1847. DOI : 10.1109/TCNS.2020.3002429.

Actuator Placement under Structural Controllability using Forward and Reverse Greedy Algorithms

B. GuoO. KaracaT. H. SummersM. Kamgarpour

IEEE Transactions on Automatic Control. 2020. p. 1 - 1. DOI : 10.1109/TAC.2020.3044284.

Enabling inter-area reserve exchange through stable benefit allocation mechanisms

O. KaracaS. DelikaraoglouG. HugM. Kamgarpour

2019

Log Barriers for Safe Non-convex Black-box Optimization

I. UsmanovaA. KrauseM. Kamgarpour

2019

Privacy of Real-Time Pricing in Smart Grid

M. Ghoddousi BoroujeniD. FayC. DimitrakakisM. Kamgarpour

2019 IEEE 58th Conference on Decision and Control (CDC). 2019. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019-12. p. 5162 - 5167. DOI : 10.1109/CDC40024.2019.9029924.

Learning Nash Equilibria in Monotone Games

T. TatarenkoM. Kamgarpour

2019 IEEE 58th Conference on Decision and Control (CDC). 2019. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019-12. p. 3104 - 3109. DOI : 10.1109/CDC40024.2019.9029659.

Actuator Placement for Optimizing Network Performance under Controllability Constraints

B. GuoO. KaracaT. SummersM. Kamgarpour

2019 IEEE 58th Conference on Decision and Control (CDC). 2019. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019-12. p. 7140 - 7147. DOI : 10.1109/CDC40024.2019.9030204.

Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures

L. FurieriM. Kamgarpour

IEEE Transactions on Automatic Control. 2019. Vol. 64, num. 12, p. 5199 - 5206. DOI : 10.1109/TAC.2019.2911655.

Designing Coalition-Proof Reverse Auctions Over Continuous Goods

O. KaracaP. G. SessaN. WaltonM. Kamgarpour

IEEE Transactions on Automatic Control. 2019. Vol. 64, num. 11, p. 4803 - 4810. DOI : 10.1109/TAC.2019.2908717.

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

L. FurieriY. ZhengA. PapachristodoulouM. Kamgarpour

IEEE Control Systems Letters. 2019. Vol. 3, num. 4, p. 1014 - 1019. DOI : 10.1109/LCSYS.2019.2920205.

Exploiting structure of chance constrained programs via submodularity

D. FrickP. G. SessaT. A. WoodM. Kamgarpour

Automatica. 2019. Vol. 105, p. 89 - 95. DOI : 10.1016/j.automatica.2019.03.027.

Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM

F. ReyX. ZhangS. MerkliV. AgliatiM. Kamgarpour  et al.

IEEE Transactions on Smart Grid. 2019. Vol. 10, num. 4, p. 3860 - 3869. DOI : 10.1109/TSG.2018.2841508.

Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms

D. González-ArribasM. SolerM. Sanjurjo-RivoM. KamgarpourJ. Simarro

Aerospace Science and Technology. 2019. Vol. 89, p. 445 - 459. DOI : 10.1016/j.ast.2019.03.051.

On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers

L. FurieriY. ZhengA. PapachristodoulouM. Kamgarpour

2019 18th European Control Conference (ECC). 2019. 2019 18th European Control Conference (ECC), Naples, Italy, 2019-06. p. 42 - 49. DOI : 10.23919/ECC.2019.8796100.

Using Uncertainty Data in Chance-Constrained Trajectory Planning

V. LefkopoulosM. Kamgarpour

2019 18th European Control Conference (ECC). 2019. 2019 18th European Control Conference (ECC), Naples, Italy, 2019-06. p. 2264 - 2269. DOI : 10.23919/ECC.2019.8795823.

Performance guarantees for greedy maximization of non-submodular controllability metrics

T. SummersM. Kamgarpour

2019 18th European Control Conference (ECC). 2019. 2019 18th European Control Conference (ECC), Naples, Italy, 2019-06. p. 2796 - 2801. DOI : 10.23919/ECC.2019.8795800.

Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature

P. G. SessaM. KamgarpourA. Krause

Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. 2019. The 22nd International Conference on Artificial Intelligence and Statistics, 2019-04-11. p. 2017 - 2027.

Safe Convex Learning under Uncertain Constraints

I. UsmanovaA. KrauseM. Kamgarpour

Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. 2019. The 22nd International Conference on Artificial Intelligence and Statistics, 2019-04-11. p. 2106 - 2114.

Learning Generalized Nash Equilibria in a Class of Convex Games

T. TatarenkoM. Kamgarpour

IEEE Transactions on Automatic Control. 2019. Vol. 64, num. 4, p. 1426 - 1439. DOI : 10.1109/TAC.2018.2841319.

Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints

D. PaccagnanB. GentileF. PariseM. KamgarpourJ. Lygeros

IEEE Transactions on Automatic Control. 2019. Vol. 64, num. 4, p. 1373 - 1388. DOI : 10.1109/TAC.2018.2849946.

No-Regret Learning in Unknown Games with Correlated Payoffs

P. G. SessaI. BogunovicM. KamgarpourA. Krause

Advances in Neural Information Processing Systems 32 (NeurIPS 2019). 2019. Advances in Neural Information Processing System, Vancouver, 2019.

Exploiting Weak Supermodularity for Coalition-Proof Mechanisms

O. KaracaM. Kamgarpour

2018 IEEE Conference on Decision and Control (CDC). 2018. 2018 IEEE Conference on Decision and Control (CDC), Miami Beach, FL, 2018-12. p. 1118 - 1123. DOI : 10.1109/CDC.2018.8619337.

Robust Distributed Control Beyond Quadratic Invariance

L. FurieriM. Kamgarpour

2018 IEEE Conference on Decision and Control (CDC). 2018. 2018 IEEE Conference on Decision and Control (CDC), Miami Beach, FL, 2018-12. p. 3728 - 3733. DOI : 10.1109/CDC.2018.8619137.

Reducing HVDC Network Oscillations Considering Wind Intermittency Through Optimized Grid Expansion Decision

A. ElahidoostL. FurieriE. TedeschiM. Kamgarpour

2018 IEEE Energy Conversion Congress and Exposition (ECCE). 2018. 2018 IEEE Energy Conversion Congress and Exposition (ECCE), Portland, OR, USA, 2018-09. p. 2683 - 2690. DOI : 10.1109/ECCE.2018.8557546.

On maximizing safety in stochastic aircraft trajectory planning with uncertain thunderstorm development

D. HentzenM. KamgarpourM. SolerD. González-Arribas

Aerospace Science and Technology. 2018. Vol. 79, p. 543 - 553. DOI : 10.1016/j.ast.2018.06.006.

Game-theoretic models in energy systems and control DTU Summer School 2018 Modern Optimization in Energy Systems‬

M. Kamgarpour

2018

Minimizing Regret in Unconstrained Online Convex Optimization

T. TatarenkoM. Kamgarpour

2018 European Control Conference (ECC). 2018. 2018 17th European Control Conference (ECC), Limassol, 2018-06. p. 143 - 148. DOI : 10.23919/ECC.2018.8550310.

Optimizing HVDC Grid Expansion and Control for Enhancing DC Stability

A. ElahidoostL. FurieriE. TedeschiM. Kamgarpour

2018 Power Systems Computation Conference (PSCC). 2018. 2018 Power Systems Computation Conference (PSCC), Dublin, Ireland, 2018-06. p. 1 - 7. DOI : 10.23919/PSCC.2018.8442753.

Scalable analysis of linear networked systems via chordal decomposition

Y. ZhengM. KamgarpourA. SootlaA. Papachristodoulou

2018 European Control Conference (ECC). 2018. 2018 17th European Control Conference (ECC), Limassol, 2018-06. p. 2260 - 2265. DOI : 10.23919/ECC.2018.8550409.

From Uncertainty Data to Robust Policies for Temporal Logic Planning

P. G. SessaD. FrickT. A. WoodM. Kamgarpour

Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week). 2018. HSCC '18: 21st International Conference on Hybrid Systems: Computation and Control, Porto Portugal, 2018-04-11. p. 157 - 166. DOI : 10.1145/3178126.3178136.

Game theoretic analysis of electricity market auction mechanisms

O. KaracaM. Kamgarpour

2017 IEEE 56th Annual Conference on Decision and Control (CDC). 2017. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 2017-12. p. 6211 - 6216. DOI : 10.1109/CDC.2017.8264596.

Robust control of constrained systems given an information structure

L. FurieriM. Kamgarpour

2017 IEEE 56th Annual Conference on Decision and Control (CDC). 2017. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 2017-12. p. 3481 - 3486. DOI : 10.1109/CDC.2017.8264169.

The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes

N. KariotoglouM. KamgarpourT. H. SummersJ. Lygeros

Journal of Artificial Intelligence Research. 2017. Vol. 60, p. 263 - 285. DOI : 10.1613/jair.5500.

Exploring the Vickrey-Clarke-Groves Mechanism for Electricity Markets * *This work is partially funded under M. Kamgarpour’s European Union ERC Starting Grant CONENE.

P. G. SessaN. WaltonM. Kamgarpour

IFAC-PapersOnLine. 2017. Vol. 50, num. 1, p. 189 - 194. DOI : 10.1016/j.ifacol.2017.08.032.

Payoff-Based Approach to Learning Nash Equilibria in Convex Games * *This research is partially supported by M. Kamgarpour’s European Union ERC Starting Grant, CONENE.

T. TatarenkoM. Kamgarpour

IFAC-PapersOnLine. 2017. Vol. 50, num. 1, p. 1508 - 1513. DOI : 10.1016/j.ifacol.2017.08.300.

Robust Control Policies Given Formal Specifications in Uncertain Environments

D. FrickT. A. WoodG. UlliM. Kamgarpour

IEEE Control Systems Letters. 2017. Vol. 1, num. 1, p. 20 - 25. DOI : 10.1109/LCSYS.2017.2700333.

Information Structure Design in Team Decision Problems

T. SummersC. LiM. Kamgarpour

IFAC-PapersOnLine. 2017. Vol. 50, num. 1, p. 2530 - 2535. DOI : 10.1016/j.ifacol.2017.08.067.

Sequential Linear Quadratic Optimal Control for Nonlinear Switched Systems

F. FarshidianM. KamgarpourD. PardoJ. Buchli

IFAC-PapersOnLine. 2017. Vol. 50, num. 1, p. 1463 - 1469. DOI : 10.1016/j.ifacol.2017.08.291.

On infinite dimensional linear programming approach to stochastic control * *This research is partially supported by M. Kamgarpour’s European Union ERC Starting Grant, CONENE and by T. Summers’ the US National Science Foundation under grant CNS-1566127.

M. KamgarpourT. Summers

IFAC-PapersOnLine. 2017. Vol. 50, num. 1, p. 6148 - 6153. DOI : 10.1016/j.ifacol.2017.08.979.

Optimal Aircraft Trajectory Planning in the Presence of Stochastic Convective Weather Cells

D. González-ArribasD. HentzenM. Sanjurjo-RivoM. SolerM. Kamgarpour

17th AIAA Aviation Technology, Integration, and Operations Conference. 2017. 17th AIAA Aviation Technology, Integration, and Operations Conference, Denver, Colorado, 2017-06-05. DOI : 10.2514/6.2017-3431.

Control synthesis for stochastic systems given automata specifications defined by stochastic sets

M. KamgarpourT. A. WoodS. SummersJ. Lygeros

Automatica. 2017. Vol. 76, p. 177 - 182. DOI : 10.1016/j.automatica.2016.10.013.

Robust optimal control with adjustable uncertainty sets

X. ZhangM. KamgarpourA. GeorghiouP. GoulartJ. Lygeros

Automatica. 2017. Vol. 75, p. 249 - 259. DOI : 10.1016/j.automatica.2016.09.016.

A Semidefinite Programming Approach to Control Synthesis for Stochastic Reach-Avoid Problems

D. DrzajicN. KariotoglouM. KamgarpourJ. Lygeros

ARCH16. 3rd International Workshop on Applied Verification for Continuous and Hybrid Systems. 2017. 3rd International Workshop on Applied Verification for Continuous and Hybrid Sytems, ARCH16, 2017. p. 134 - 143.

Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints

D. PaccagnanB. GentileF. PariseM. KamgarpourJ. Lygeros

2016 IEEE 55th Conference on Decision and Control (CDC). 2016. 2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, NV, USA, 2016-12. p. 6123 - 6128. DOI : 10.1109/CDC.2016.7799210.

Automaton-based stochastic control for navigation of emergency rescuers in buildings

T. A. WoodM. Kamgarpour

2016 IEEE Conference on Control Applications (CCA). 2016. 2016 IEEE Conference on Control Applications (CCA), Buenos Aires, Argentina, 2016-09. p. 587 - 592. DOI : 10.1109/CCA.2016.7587893.

Stochastic Control-A Moment Approach to Sparse Control Design‬

M. KamgarpourT. H. Summers

Proceedings of the 22nd International Symposium on Mathematical Theory of Networks and Systems. 2016. International Symposium on Mathematical Theory of Networks and Systems, University of Minnesota, 2016-07.

A Hybrid Optimal Control Approach to Fuel-Efficient Aircraft Conflict Avoidance

M. SolerM. KamgarpourJ. LloretJ. Lygeros

IEEE Transactions on Intelligent Transportation Systems. 2016. Vol. 17, num. 7, p. 1826 - 1838. DOI : 10.1109/TITS.2015.2510824.

On aggregative and mean field games with applications to electricity markets

D. PaccagnanM. KamgarpourJ. Lygeros

2016 European Control Conference (ECC). 2016. 2016 European Control Conference (ECC), Aalborg, Denmark, 2016-06. p. 196 - 201. DOI : 10.1109/ECC.2016.7810286.

Reachability-based Control Synthesis for Power System Stability

M. KamgarpourC. BeyssA. Fuchs

IFAC-PapersOnLine. 2016. Vol. 49, num. 27, p. 238 - 243. DOI : 10.1016/j.ifacol.2016.10.695.

On the range of feasible power trajectories for a population of thermostatically controlled loads

D. PaccagnanM. KamgarpourJ. Lygeros

2015 54th IEEE Conference on Decision and Control (CDC). 2015. 2015 54th IEEE Conference on Decision and Control (CDC), Osaka, 2015-12. p. 5883 - 5888. DOI : 10.1109/CDC.2015.7403144.

Stochastic frequency reserve provision by chance-constrained control of commercial buildings

X. ZhangE. VrettosM. KamgarpourG. AnderssonJ. Lygeros

2015 European Control Conference (ECC). 2015. 2015 European Control Conference (ECC), Linz, Austria, 2015-07. p. 1134 - 1140. DOI : 10.1109/ECC.2015.7330692.

Upper bounds for the reach-avoid probability via robust optimization

N. KariotoglouM. KamgarpourT. H. SummersJ. Lygeros

2015

Arbitraging Intraday Wholesale Energy Market Prices With Aggregations of Thermostatic Loads

J. L. MathieuM. KamgarpourJ. LygerosG. AnderssonD. S. Callaway

IEEE Transactions on Power Systems. 2015. Vol. 30, num. 2, p. 763 - 772. DOI : 10.1109/TPWRS.2014.2335158.

Selling robustness margins: A framework for optimizing reserve capacities for linear systems

X. ZhangM. KamgarpourP. GoulartJ. Lygeros

53rd IEEE Conference on Decision and Control. 2014. 2014 IEEE 53rd Annual Conference on Decision and Control (CDC), Los Angeles, CA, USA, 2014-12. p. 6419 - 6424. DOI : 10.1109/CDC.2014.7040396.

Model based power optimisation of wind farms

F. HeerP. M. EsfahaniM. KamgarpourJ. Lygeros

2014 European Control Conference (ECC). 2014. 2014 European Control Conference (ECC), Strasbourg, France, 2014-06. p. 1145 - 1150. DOI : 10.1109/ECC.2014.6862365.

A Numerical Framework and Benchmark Case study for Muti-modal Fuel Efficient Aircraft Conflict Avoidance

M. SolerM. KamgarpourJ. Lygeros

Sixth International Conference on Research in Air Transportation (ICRAT 2014). 2014. Sixth International Conference on Research in Air Transportation, Istambul, 2014-05-26.

Stochastic system controller synthesis for reachability specifications encoded by random sets

S. SummersM. KamgarpourC. TomlinJ. Lygeros

Automatica. 2013. Vol. 49, num. 9, p. 2906 - 2910. DOI : 10.1016/j.automatica.2013.06.016.

A stochastic games framework for verification and control of discrete time stochastic hybrid systems

J. DingM. KamgarpourS. SummersA. AbateJ. Lygeros  et al.

Automatica. 2013. Vol. 49, num. 9, p. 2665 - 2674. DOI : 10.1016/j.automatica.2013.05.025.

Modeling options for demand side participation of thermostatically controlled loads

M. KamgarpourC. EllenS. E. Z. SoudjaniS. GerwinnJ. L. Mathieu  et al.

2013 IREP Symposium Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid. 2013. 2013 IREP Symposium - Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid (IREP), Rethymno, Greece, 2013-08. p. 1 - 15. DOI : 10.1109/IREP.2013.6629396.

A Bayesian mean field game approach to supply demand analysis of the smart grid

M. KamgarpourH. Tembine

2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom). 2013. 2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom), Batumi, Georgia, 2013-07. p. 211 - 215. DOI : 10.1109/BlackSeaCom.2013.6623412.

Approximate dynamic programming via sum of squares programming

T. SummersK. KunzN. KariotoglouM. KamgarpourS. Summers  et al.

Proceedings of the European Control Conference 2013. 2013. 2013 European Control Conference, ECC 2013, 2013. p. 191 - 197. DOI : 10.23919/ecc.2013.6669374.

Energy arbitrage with thermostatically controlled loads

J. MathieuM. KamgarpourJ. LygerosD. Callaway

Proceedings of the European Control Conference 2013. 2013. 2013 European Control Conference, ECC 2013, 2013. p. 2519 - 2526. DOI : 10.23919/ecc.2013.6669582.

Optimal load management system for aircraft electric power distribution

M. MaasoumyP. NuzzoF. IandolaM. KamgarpourA. Sangiovanni-Vincentelli  et al.

Proceedings of the IEEE Conference on Decision and Control. 2013. Proceedings of the IEEE Conference on Decision and Control, 2013. p. 2939 - 2945. DOI : 10.1109/CDC.2013.6760330.

Approximate dynamic programming for stochastic reachability

N. KariotoglouS. SummersT. SummersM. KamgarpourJ. Lygeros

Proceedings of the European Control Conference 2013. 2013. 2013 European Control Conference, ECC 2013, 2013. p. 584 - 589. DOI : 10.23919/ecc.2013.6669603.

A robust fault detection and isolation filter for a horizontal axis variable speed wind turbine

B. SvetozarevicP. EsfahaniM. KamgarpourJ. Lygeros

Proceedings of the American Control Conference 2013. 2013. Proceedings of the American Control Conference, 2013. p. 4453 - 4458. DOI : 10.1109/acc.2013.6580526.

Multiphase mixed-integer optimal control framework for aircraft conflict avoidance

M. SolerM. KamgarpourC. TomlinE. Staffetti

Proceedings of the IEEE Conference on Decision and Control. 2012. Proceedings of the IEEE Conference on Decision and Control, 2012. p. 1740 - 1745. DOI : 10.1109/CDC.2012.6426709.

On optimal control of non-autonomous switched systems with a fixed mode sequence

M. KamgarpourC. Tomlin

Automatica. 2012. Vol. 48, num. 6, p. 1177 - 1181. DOI : 10.1016/j.automatica.2012.03.019.

A hierarchical flight planning framework for air traffic management

W. ZhangM. KamgarpourD. SunC. Tomlin

Proceedings of the IEEE. 2012. Vol. 100, num. 1, p. 179 - 194. DOI : 10.1109/JPROC.2011.2161243.

Control design for specifications on stochastic hybrid systems

M. KamgarpourS. SummersJ. Lygeros

Proceedings of the 16th International Conference on Hybrid Systems. 2012. HSCC 2013 - Proceedings of the 16th International Conference on Hybrid Systems: Computation and Control, Part of CPSWeek 2013, 2012. p. 303 - 312. DOI : 10.1145/2461328.2461374.

Modeling and Optimization of Terminal Airspace and Aircraft Arrival Subject To Weather Uncertainties

M. KamgarpourW. ZhangC. Tomlin

AIAA Guidance, Navigation, and Control Conference. 2011. AIAA Guidance, Navigation, and Control Conference, Portland, Oregon, 2011-08-08. DOI : 10.2514/6.2011-6516.

Decentralized flight path planning for air traffic management

W. ZhangM. KamgarpourD. SunC. J. Tomlin

Proceedings of the 2011 American Control Conference. 2011. Proceedings of the 2011 American Control Conference, 2011-06. p. 2137 - 2142. DOI : 10.1109/ACC.2011.5991156.

Hybrid Optimal Control for Aircraft Trajectory Design with a Variable Sequence of Modes

M. KamgarpourM. SolerC. J. TomlinA. OlivaresJ. Lygeros

IFAC Proceedings Volumes. 2011. Vol. 44, num. 1, p. 7238 - 7243. DOI : 10.3182/20110828-6-IT-1002.01643.

Discrete time stochastic hybrid dynamical games: Verification & controller synthesis

M. KamgarpourJ. DingS. SummersA. AbateJ. Lygeros  et al.

Proceedings of the IEEE Conference on Decision and Control. 2011. Proceedings of the IEEE Conference on Decision and Control, 2011. p. 6122 - 6127. DOI : 10.1109/CDC.2011.6161218.

A stochastic reach-avoid problem with random obstacles

S. SummersM. KamgarpourJ. LygerosC. Tomlin

Proceedings of the 14th international conference on Hybrid systems: computation and control - HSCC '11. 2011. the 14th international conference, Chicago, IL, USA, 2011. DOI : 10.1145/1967701.1967738.

Trajectory generation for aircraft subject to dynamic weather uncertainty

M. KamgarpourV. DadokC. Tomlin

49th IEEE Conference on Decision and Control (CDC). 2010. 2010 49th IEEE Conference on Decision and Control (CDC), Atlanta, GA, USA, 2010-12. p. 2063 - 2068. DOI : 10.1109/CDC.2010.5717889.

A numerical method for the optimal control of switched systems

H. GonzalezR. VasudevanM. KamgarpourS. S. SastryR. Bajcsy  et al.

49th IEEE Conference on Decision and Control (CDC). 2010. 2010 49th IEEE Conference on Decision and Control (CDC), Atlanta, GA, USA, 2010-12. p. 7519 - 7526. DOI : 10.1109/CDC.2010.5717469.

Benefits of Continuous Descent Operations in High-Density Terminal Airspace Considering Scheduling Constraints

J. Robinson IIIM. Kamgarpour

10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference. 2010. 10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, Fort Worth, Texas, 2010-09-13. DOI : 10.2514/6.2010-9115.

Modeling and analysis of cell differentiation using hybrid systems

M. KamgarpourC. Tomlin

Proceedings of the 2010 American Control Conference. 2010. 2010 American Control Conference (ACC 2010), Baltimore, MD, 2010-06. p. 4355 - 4360. DOI : 10.1109/ACC.2010.5530837.

A descent algorithm for the optimal control of constrained nonlinear switched dynamical systems

H. GonzalezR. VasudevanM. KamgarpourS. S. SastryR. Bajcsy  et al.

Proceedings of the 13th ACM international conference on Hybrid systems: computation and control - HSCC '10. 2010. the 13th ACM international conference, Stockholm, Sweden, 2010. DOI : 10.1145/1755952.1755961.

Convergence properties of a decentralized Kalman filter

M. KamgarpourC. Tomlin

2008 47th IEEE Conference on Decision and Control. 2008. 2008 47th IEEE Conference on Decision and Control, Cancun, Mexico, 2008. p. 3205 - 3210. DOI : 10.1109/CDC.2008.4738989.

Tracking controllers for small UAVs with wind disturbances: Theory and flight results

S. JacksonJ. TisdaleM. KamgarpourB. BassoJ. K. Hedrick

2008 47th IEEE Conference on Decision and Control. 2008. 2008 47th IEEE Conference on Decision and Control, Cancun, Mexico, 2008. p. 564 - 569. DOI : 10.1109/CDC.2008.4739415.

Enseignement et PhD

Doctorant·es actuel·les

Giulio Salizzoni, Tingting Ni, Saurabh Dilip Vaishampayan, Andreas Schlaginhaufen, Kai Ren, Anna Maria Maddux, Gabriel Vallat, Philip Jordan, Yasaman Zolfimoselo, Daniele De Cecco, Gregorio Valenti

A co-dirigé les thèses EPFL de

Baiwei Guo

Cours

Foundations of artificial intelligence

ME-390

Ce cours fournit aux étudiants la théorie de base pour comprendre l'approche de l'apprentissage automatique (machine learning), et les outils pour utiliser l'approche pour les problèmes survenant dans les applications d'ingénierie.