Optimal Control at Large

Información del proyecto

OCAL

Identificador del acuerdo de subvención: 787845

DOI

10.3030/787845

Proyecto cerrado

Fecha de la firma de la CE 28 Mayo 2018

Fecha de inicio 1 Noviembre 2018

Fecha de finalización 31 Octubre 2024

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 2 497 058,00

Aportación de la UE

€ 2 497 058,00

Coordinado por

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Switzerland

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Peer reviewed articles (28)

Efficient sample selection for safe learning*

Autores: Marta Zagorowska, Efe C. Balta, Varsha Behrunani, Alisa Rupenyan, John Lygeros
Publicado en: IFAC-PapersOnLine, Edición 56, 2024, Página(s) 10107-10112, ISSN 2405-8963
Editor: Elsevier
DOI: 10.1016/j.ifacol.2023.10.882

On the asymptotic behavior of the Douglas–Rachford and proximal-point algorithms for convex optimization

Autores: Goran Banjac, John Lygeros
Publicado en: Optimization Letters, 2021, ISSN 1862-4472
Editor: Springer Verlag
DOI: 10.1007/s11590-021-01706-3

Data-driven optimal control with a relaxed linear program

Autores: Andrea Martinelli; Matilde Gargiani; John Lygeros
Publicado en: Automatica, 136, Edición 12, 2022, ISSN 0005-1098
Editor: Pergamon Press Ltd.
DOI: 10.3929/ethz-b-000519668

Distributionally Robust Chance Constrained Data-enabled Predictive Control

Autores: J. Coulson, J. Lygeros, F. Dörfler
Publicado en: IEEE Transactions on Automatic Control, 2021, ISSN 1558-2523
Editor: IEEE
DOI: 10.1109/tac.2021.3097706

Semidecentralized Zeroth-Order Algorithms for Stochastic Generalized Nash Equilibrium Seeking

Autores: Suli Zou; John Lygeros
Publicado en: IEEE Transactions on Automatic Control, 68 (2), Edición 12, 2022, ISSN 1558-2523
Editor: IEEE
DOI: 10.1109/tac.2022.3151225

On the Synthesis of Bellman Inequalities for Data-Driven Optimal Control

Autores: Martinelli, Andrea; Gargiani, Matilde; Lygeros, John
Publicado en: 60th Conference on Decision and Control (CDC 2021), Online, December 14-17, 2021, Edición 1, 2021, ISSN 2576-2370
Editor: IEEE
DOI: 10.1109/cdc45484.2021.9683070

Two-Stage Dual Dynamic Programming with Application to Nonlinear Hydro Scheduling

Autores: Flamm, Benjamin; Eichler, Annika; id_orcid0000-0003-3282-3135; Warrington, Joseph; Lygeros, John; id_orcid0000-0002-6159-1962
Publicado en: IEEE Transactions on Control Systems Technology, 29 (1), Edición 7, 2021, ISSN 1558-0865
Editor: IEEE
DOI: 10.3929/ethz-b-000388081

The Nash Equilibrium With Inertia in Population Games

Autores: B. Gentile, D. Paccagnan, B. Ogunsula, Lygeros
Publicado en: IEEE Transactions on Automatic Control, Edición 66(12), 2021, Página(s) 5742 - 5755, ISSN 1558-2523
Editor: IEEE
DOI: 10.1109/tac.2020.3044007

Accelerated Point-wise Maximum Approach to Approximate Dynamic Programming

Autores: P.N. Beuchat, J. Warrington, J. Lygeros
Publicado en: IEEE Transactions on Automatic Control, Edición 4, 2021, ISSN 1558-2523
Editor: IEEE
DOI: 10.3929/ethz-b-000463046

Data‐enabled predictive control for quadcopters

Autores: E. Elokda, J. Coulson, P.N. Beuchat, J. Lygeros, F. Dörfler
Publicado en: International Journal of Robust and Nonlinear Control, Edición 2, 2021
Editor: Wiley
DOI: 10.1002/rnc.5686

An Extended Kalman Filter for Data-Enabled Predictive Control

Autores: Daniele Alpago; Florian Dorfler; John Lygeros
Publicado en: IEEE Control Systems Letters, 4 (4), Edición 4, 2020, ISSN 2475-1456
Editor: IEEE
DOI: 10.3929/ethz-b-000425063

Learning Q-function approximations for hybrid control problems

Autores: Sandeep Menta, Joseph Warrington, John Lygeros, Manfred Morari
Publicado en: IEEE Control Systems Letters, Edición vol. 6, 2021, Página(s) 1-1, ISSN 2475-1456
Editor: IEEE
DOI: 10.1109/lcsys.2021.3094764

A Distributed Algorithm For Almost-Nash Equilibria of Average Aggregative Games With Coupling Constraints

Autores: Francesca Parise; Basilio Gentile; John Lygeros
Publicado en: IEEE Transactions on Control of Network Systems, 7 (2), Edición 8, 2019, ISSN 2325-5870
Editor: IEEE CONTROL SYSTEMS SOCIETY
DOI: 10.3929/ethz-b-000424125

Inexact GMRES Policy Iteration for Large-Scale Markov Decision Processes

Autores: Matilde Gargiani, Dominic Liao-McPherson, Andrea Zanelli, John Lygeros
Publicado en: IFAC-PapersOnLine, Edición 56, 2024, Página(s) 11249-11254, ISSN 2405-8963
Editor: Elsevier
DOI: 10.1016/j.ifacol.2023.10.316

Dynamic Programming Through the Lens of Semismooth Newton-Type Methods

Autores: M. Gargiani; A. Zanelli; D. Liao-McPherson; T. H. Summers; J. Lygeros
Publicado en: IEEE Control Systems Letters, Edición 6, 2022, ISSN 2475-1456
Editor: IEEE
DOI: 10.1109/lcsys.2022.3181213

GPU acceleration of ADMM for large-scale quadratic programming

Autores: M. Schubiger, G. Banjac, and J. Lygeros
Publicado en: Journal of Parallel and Distributed Computing, 2020, ISSN 0743-7315
Editor: Academic Press

Performance Guarantees for Model-Based Approximate Dynamic Programming in Continuous Spaces

Autores: Paul Nathaniel Beuchat, Angelos Georghiou, John Lygeros
Publicado en: IEEE Transactions on Automatic Control, Edición 65/1, 2020, Página(s) 143-158, ISSN 0018-9286
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TAC.2019.2906423

Two-Stage Dual Dynamic Programming With Application to Nonlinear Hydro Scheduling

Autores: Benjamin Flamm, Annika Eichler, Joseph Warrington, John Lygeros
Publicado en: IEEE Transactions on Control Systems Technology, Edición 29/1, 2021, Página(s) 96-107, ISSN 1063-6536
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcst.2019.2961645

On the minimal displacement vector of the Douglas–Rachford operator

Autores: Banjac, Goran; id_orcid0000-0001-6038-1587
Publicado en: Operations Research Letters, 49 (2), Edición 7, 2021, ISSN 0167-6377
Editor: Elsevier BV
DOI: 10.3929/ethz-b-000465833

Automatic Scenario Generation for Robust Optimal Control Problems*

Autores: M. Zagorowska, P. Falugi, E. O'Dwyer, E.C. Kerrigan
Publicado en: IFAC-PapersOnLine, Edición 56, 2024, Página(s) 1229-1234, ISSN 2405-8963
Editor: Elsevier
DOI: 10.1016/j.ifacol.2023.10.1743

Passivity-Based Decentralized Control for Discrete-Time Large-Scale Systems

Autores: Ahmed Aboudonia, Andrea Martinelli, John Lygeros
Publicado en: IEEE Control Systems Letters, Edición 5/6, 2021, Página(s) 2072-2077, ISSN 2475-1456
Editor: IEEE
DOI: 10.1109/lcsys.2020.3046967

Distributed Model Predictive Control with Reconfigurable Terminal Ingredients for Reference Tracking

Autores: Ahmed Aboudonia; Annika Eichler; Francesco Cordiano; Goran Banjac; John Lygeros
Publicado en: IEEE Transactions on Automatic Control, 67 (11), Edición 3, 2022, ISSN 1558-2523
Editor: IEEE
DOI: 10.48550/arxiv.2007.00427

Joint Chance Constrained Optimal Control via Linear Programming

Autores: Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros
Publicado en: IEEE Control Systems Letters, Edición 8, 2024, Página(s) 736-741, ISSN 2475-1456
Editor: IEEE
DOI: 10.1109/lcsys.2024.3403470

Data-Driven Optimal Control of Affine Systems: A Linear Programming Perspective

Autores: Andrea Martinelli; Matilde Gargiani; Marina Draskovic; John Lygeros
Publicado en: IEEE Control Systems Letters, 6, 2022, ISSN 2475-1456
Editor: IEEE
DOI: 10.1109/lcsys.2022.3180898

Robust Data-Enabled Predictive Control: Tractable Formulations and Performance Guarantees

Autores: Linbin Huang; Jianzhe Zhen; John Lygeros; Florian Dörfler
Publicado en: IEEE Transactions on Automatic Control, Edición 12, 2023, ISSN 1558-2523
Editor: IEEE
DOI: 10.1109/tac.2023.3241282

Degradation-aware data-enabled predictive control of energy hubs

Autores: Varsha Behrunani, Marta Zagorowska, Mathias Hudoba de Badyn, Francesco Ricca, Philipp Heer, John Lygeros
Publicado en: Journal of Physics: Conference Series, Edición 2600, 2023, Página(s) 072006, ISSN 1742-6588
Editor: Institute of Physics
DOI: 10.1088/1742-6596/2600/7/072006

Online Linear Quadratic Tracking With Regret Guarantees

Autores: Aren Karapetyan, Diego Bolliger, Anastasios Tsiamis, Efe C. Balta, John Lygeros
Publicado en: IEEE Control Systems Letters, Edición 7, 2024, Página(s) 3950-3955, ISSN 2475-1456
Editor: IEEE
DOI: 10.1109/lcsys.2023.3345809

Parallel and Flexible Dynamic Programming Via the Mini-Batch Bellman Operator

Autores: Gargiani, Matilde; Martinelli, Andrea; Martinez, Max Ruts; Lygeros, John
Publicado en: IEEE Transactions on Automatic Control, Edición 12, 2023, ISSN 1558-2523
Editor: IEEE
DOI: 10.1109/tac.2023.3270060

Conference proceedings (17)

Online Computation of Terminal Ingredients in Distributed Model Predictive Control for Reference Tracking

Autores: Aboudonia, Ahmed; Banjac, Goran; Eichler, Annika; Lygeros, John
Publicado en: 2022 European Control Conference (ECC), Edición 1, 2022
Editor: IEEE
DOI: 10.23919/ecc55457.2022.9838088

Scenario-based Stochastic MPC for systems with uncertain dynamics

Autores: Micheli, Francesco; Lygeros, John
Publicado en: 2022 European Control Conference (ECC), Edición 1, 2022
Editor: IEEE
DOI: 10.23919/ecc55457.2022.9838080

Data-driven distributionally robust MPC for systems with uncertain dynamics

Autores: Micheli, Francesco; Summers, Tyler; Lygeros, John; id_orcid0000-0002-6159-1962
Publicado en: 2022 IEEE 61st Conference on Decision and Control (CDC), Edición 1, 2022
Editor: IEEE
DOI: 10.1109/cdc51059.2022.9992469

Efficient performance bounds for primal-dual reinforcement learning from demonstrations

Autores: Angeliki Kamoutsi, Goran Banjac, John Lygeros
Publicado en: International Conference on Machine Learning (ICML), 2021
Editor: Proceedings of Machine Learning Research

Reconfigurable Plug-and-play Distributed Model Predictive Control for Reference Tracking

Autores: Aboudonia, Ahmed; Martinelli, Andrea; Hoischen, Nicolas; Lygeros, John
Publicado en: IEEE Conference on Decision and Control (CDC), 2022, Edición 1, 2022
Editor: IEEE
DOI: 10.3929/ethz-b-000591436

Constrained Optimal Tracking Control of Unknown Systems: A Multi-Step Linear Programming Approach *

Autores: Alexandros Tanzanakis, John Lygeros
Publicado en: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Página(s) 2455-2462, ISBN 978-1-7281-7447-1
Editor: IEEE
DOI: 10.1109/cdc42340.2020.9304315

Probabilistic Reachability and Invariance Computation of Stochastic Systems using Linear Programming

Autores: Schmid, Niklas; Lygeros, John; id_orcid0000-0002-6159-1962
Publicado en: IFAC-PapersOnLine, 56 (2), Edición 4, 2023
Editor: Elsevier
DOI: 10.3929/ethz-b-000616709

Implications of Regret on Stability of Linear Dynamical Systems

Autores: Karapetyan, Aren; Tsiamis, Anastasios; id_orcid0000-0002-7935-7541; Balta, Efe C.; Iannelli, Andrea; id_orcid0000-0002-1865-6978; Lygeros, John; id_orcid0000-0002-6159-1962
Publicado en: 22nd IFAC World Congress, Edición 4, 2023
Editor: Elsevier
DOI: 10.3929/ethz-b-000616540

Data-driven control of unknown systems: a linear programming approach

Autores: A. Tanzanakis, J. Lygeros
Publicado en: IFAC-PapersOnLine, 53 (2), 2020, ISSN 2405-8963
Editor: Elsevier
DOI: 10.3929/ethz-b-000461397

Control of networked systems by clustering: the degree of freedom concept

Autores: A. Martinelli, J. Lygeros
Publicado en: IFAC-PapersOnLine, 53 (2), 2020, ISSN 2405-8963
Editor: Elsevier
DOI: 10.3929/ethz-b-000461396

Learning solutions to hybrid control problems using Benders cuts

Autores: S. Menta, J. Warrington, J. Lygeros, and M. Morari
Publicado en: Learning for Dynamics and Control (L4DC), 2020
Editor: -

A data-driven policy iteration scheme based on linear programming

Autores: G. Banjac, J. Lygeros
Publicado en: IEEE Conference on Decision and Control (CDC), 2019, ISSN 2576-2370
Editor: IEEE

Stochastic convex optimization for provably efficient apprenticeship learning,

Autores: A. Kamoutsi, G. Banjac, J. Lygeros
Publicado en: NeurIPS 2019 Optimization Foundations for Reinforcement Learning Workshop, 2019
Editor: -

Policy Iteration for Multiplicative Noise Output Feedback Control

Autores: Gravell, Benjamin; Gargiani, Matilde; Lygeros, John; Summers, Tyler H.
Publicado en: 2022 IEEE 61st Conference on Decision and Control (CDC), Edición 1, 2022
Editor: IEEE
DOI: 10.1109/cdc51059.2022.9993098

Quadratic Regularization of Data-Enabled Predictive Control: Theory and Application to Power Converter Experiments

Autores: L. Huang, J. Zhen, J. Lygeros, F. Dörfler
Publicado en: 19th IFAC Symposium on System Identification, SYSID 2021, 2021
Editor: Elsevier
DOI: 10.1016/j.ifacol.2021.08.357

PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation

Autores: Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler Summers, John Lygeros
Publicado en: Proceedings of the 39th International Conference on Machine Learning, Edición 1, 2022
Editor: PMLR
DOI: 10.3929/ethz-b-000592386

Game Theoretic Stochastic Energy Coordination under A Distributed Zeroth-order Algorithm

Autores: Y. Chen, S. Zou and J. Lygeros
Publicado en: IFAC-PapersOnLine, 53 (2), 2020, ISSN 2405-8963
Editor: Elsevier
DOI: 10.3929/ethz-b-000462601

Thesis and dissertations (1)

Control of Large-Scale Discrete-Time Systems - Dissipativity, Optimality, and Learning

Autores: Martinelli, Andrea; id_orcid0000-0003-3206-9814
Publicado en: Doctoral Thesis ETH Zurich, Edición 1, 2024
Editor: ETH Zurich
DOI: 10.3929/ethz-b-000672179