A novel control paradigm for large-scale hybrid networks

Informacje na temat projektu

CLariNet

Identyfikator umowy o grant: 101018826

DOI

10.3030/101018826

Data podpisania przez KE 5 Maja 2021

Data rozpoczęcia 1 Października 2021

Data zakończenia 30 Września 2026

Finansowanie w ramach

• EXCELLENT SCIENCE - European Research Council (ERC)

Koszt całkowity

€ 2 500 000,00

Wkład UE

€ 2 500 000,00

Koordynowany przez

TECHNISCHE UNIVERSITEIT DELFT
Netherlands

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Open Research Data Pilot (1)

Data Management Plan

Report on how results data and publications will be made open access available under FAIR conditions

Publikacje

Peer reviewed articles (26)

Certainty-Equivalence Model Predictive Control: Stability, Performance, and Beyond

Autorzy: Changrui Liu, Shengling Shi, Bart De Schutter
Opublikowane w: IEEE Transactions on Automatic Control, 2026, Strona(/y) 1-16, ISSN 0018-9286
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2026.3661789

On the Regret of Model Predictive Control With Imperfect Inputs

Autorzy: Changrui Liu, Shengling Shi, Bart De Schutter
Opublikowane w: IEEE Control Systems Letters, Numer 9, 2025, Strona(/y) 601-606, ISSN 2475-1456
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/lcsys.2025.3577083

Multi-agent reinforcement learning via distributed MPC as a function approximator

Autorzy: Mallick, Samuel; Airaldi, Filippo; Dabiri, Azita; De Schutter, Bart
Opublikowane w: Automatica, Numer 4, 2024, Strona(/y) 111803, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2024.111803

Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM

Autorzy: Samuel Mallick, Azita Dabiri, Bart De Schutter
Opublikowane w: IEEE Transactions on Automatic Control, Numer 70, 2025, Strona(/y) 3727-3741, ISSN 0018-9286
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2024.3512334

Integrating Reinforcement Learning and Model Predictive Control for Mixed- Logical Dynamical Systems

Autorzy: Caio Fabio Oliveira da Silva, Azita Dabiri, Bart De Schutter
Opublikowane w: IEEE Open Journal of Control Systems, Numer 4, 2025, Strona(/y) 316-331, ISSN 2694-085X
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ojcsys.2025.3601435

State-Action Control Barrier Functions: Imposing Safety on Learning-Based Control With Low Online Computational Costs

Autorzy: Kanghui He, Shengling Shi, Ton van den Boom, Bart De Schutter
Opublikowane w: IEEE Transactions on Automatic Control, Numer 71, 2026, Strona(/y) 3365-3371, ISSN 0018-9286
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2025.3636804

Reinforcement Learning With Model Predictive Control for Highway Ramp Metering

Autorzy: Filippo Airaldi, Bart De Schutter, Azita Dabiri
Opublikowane w: IEEE Transactions on Intelligent Transportation Systems, Numer 26, 2025, Strona(/y) 5988-6004, ISSN 1524-9050
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2025.3549227

Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights

Autorzy: Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Opublikowane w: Annual Reviews in Control, Numer 61, 2026, Strona(/y) 101046, ISSN 1367-5788
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.arcontrol.2026.101046

Approximate dynamic programming for constrained linear systems: A piecewise quadratic approximation approach

Autorzy: He, Kanghui; Shi, Shengling; Boom, Ton van den; De Schutter, Bart
Opublikowane w: Automatica, Numer 160, 2024, Strona(/y) 111456, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2023.111456

Bi-level model predictive control for metro networks: Integration of timetables, passenger flows, and train speed profiles

Autorzy: Xiaoyu Liu; Azita Dabiri; Jing Xun; Bart De Schutter
Opublikowane w: Transportation Research Part E: Logistics and Transportation Review, Numer 180, 2023, Strona(/y) 103339, ISSN 1366-5545
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.tre.2023.103339

A combined probabilistic-fuzzy approach for dynamic modeling of traffic in smart cities: Handling imprecise and uncertain traffic data

Autorzy: A. Jamshidnejad and B. De Schutter
Opublikowane w: Computers and Electrical Engineering, 2024, Strona(/y) 109552, ISSN 0045-7906
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.compeleceng.2024.109552

Deep Learning for Object Detection and Segmentation in Videos: Toward an Integration With Domain Knowledge

Autorzy: A. Ilioudi, A. Dabiri, B. J. Wolf and B. De Schutter
Opublikowane w: IEEE Access, Numer 10, 2022, Strona(/y) 34562-34576, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3162827

Distributed Model Predictive Control for Virtually Coupled Heterogeneous Trains: Comparison and Assessment

Autorzy: Xiaoyu Liu, Azita Dabiri, Yihui Wang, Jing Xun, Bart De Schutter
Opublikowane w: IEEE Transactions on Intelligent Transportation Systems, Numer 25, 2024, Strona(/y) 20753-20766, ISSN 1524-9050
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2024.3458169

Adaptive parameterized model predictive control based on reinforcement learning: A synthesis framework

Autorzy: D. Sun, A. Jamshidnejad, and B. De Schutter
Opublikowane w: Engineering Applications of Artificial Intelligence, 2024, Strona(/y) 109009, ISSN 0952-1976
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2024.109009

Modeling and Efficient Passenger-Oriented Control for Urban Rail Transit Networks

Autorzy: Xiaoyu Liu; Azita Dabiri; Yihui Wang; Bart De Schutter
Opublikowane w: IEEE Transactions on Intelligent Transportation Systems, Numer 24, 2023, Strona(/y) 3325-3338, ISSN 1524-9050
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2022.3228340

Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles With Discrete Gear Selection

Autorzy: Samuel Mallick, Gianpietro Battocletti, Qizhang Dong, Azita Dabiri, Bart De Schutter
Opublikowane w: IEEE Control Systems Letters, Numer 9, 2025, Strona(/y) 1117-1122, ISSN 2475-1456
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/lcsys.2025.3575335

Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching

Autorzy: Shengling Shi; Othmane Mazhar; Bart De Schutter
Opublikowane w: IEEE Control Systems Letters, Numer 7, 2023, Strona(/y) 121-126, ISSN 2475-1456
Wydawca: IEEE
DOI: 10.48550/arxiv.2203.09862

A Novel Framework Combining MPC and Deep Reinforcement Learning With Application to Freeway Traffic Control

Autorzy: Dingshan Sun; Anahita Jamshidnejad; Bart De Schutter
Opublikowane w: IEEE Transactions on Intelligent Transportation Systems, 2024, Strona(/y) 6756-6769, ISSN 1524-9050
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2023.3342651

Suboptimality Analysis of Receding-Horizon Quadratic Control With Unknown Linear Systems and Its Applications in Learning-Based Control

Autorzy: Shengling Shi, Anastasios Tsiamis, Bart De Schutter
Opublikowane w: IEEE Transactions on Automatic Control, Numer 71, 2026, Strona(/y) 1422-1437, ISSN 0018-9286
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2025.3605539

A state reduction approach for learning-based model predictive control for train rescheduling

Autorzy: C.F.O. da Silva, X. Liu, A. Dabiri, B. De Schutter
Opublikowane w: IFAC-PapersOnLine, Numer 59, 2026, Strona(/y) 383-388, ISSN 2405-8963
Wydawca: Elsevier BV
DOI: 10.1016/j.ifacol.2025.12.065

Grammatical-Evolution-based parameterized Model Predictive Control for urban traffic networks

Autorzy: Joost Jeschke; Dingshan Sun; Anahita Jamshidnejad; Bart De Schutter
Opublikowane w: Control Engineering Practice, Numer 132, 2023, Strona(/y) 105431, ISSN 0967-0661
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.conengprac.2022.105431

Real-Time Train Scheduling With Uncertain Passenger Flows: A Scenario-Based Distributed Model Predictive Control Approach

Autorzy: Xiaoyu Liu; Azita Dabiri; Yihui Wang; Bart De Schutter
Opublikowane w: IEEE Transactions on Intelligent Transportation Systems, Numer 25, 2024, Strona(/y) 4219-4232, ISSN 1524-9050
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2023.3329445

Reinforcement learning-based model predictive control for greenhouse climate control

Autorzy: Samuel Mallick, Filippo Airaldi, Azita Dabiri, Congcong Sun, Bart De Schutter
Opublikowane w: Smart Agricultural Technology, Numer 10, 2025, Strona(/y) 100751, ISSN 2772-3755
Wydawca: Elsevier BV
DOI: 10.1016/j.atech.2024.100751

A Novel Bi-Level Temporally-Distributed Mpc Approach: An Application to Green Urban Mobility

Autorzy: Anahita Jamshidnejad; Dingshan Sun; Antonella Ferrara; Bart De Schutter
Opublikowane w: Transportation Research Part C: Emerging Technologies, Numer 156, 2023, Strona(/y) 104334, ISSN 0968-090X
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.trc.2023.104334

Distributed model predictive control without terminal cost under inexact distributed optimization

Autorzy: Xiaoyu Liu, Dimos V. Dimarogonas, Changxin Liu, Azita Dabiri, Bart De Schutter
Opublikowane w: Automatica, Numer 190, 2026, Strona(/y) 113050, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2026.113050

Sensitivity analysis for piecewise-affine approximations of nonlinear programs with polytopic constraints

Autorzy: L. Gharavi; C. Liu; B. De Schutter; and S. Baldi
Opublikowane w: IEEE Control Systems Letters, 2024, Strona(/y) 1271-1276, ISSN 2475-1456
Wydawca: IEEE
DOI: 10.1109/lcsys.2024.3408711

Conference proceedings (16)

Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with Additive Exploration

Autorzy: Athrey, Archith; Mazhar, Othmane; Guo, Meichen; De Schutter, Bart; Shi, Shengling
Opublikowane w: Proceedings of the 2024 European Control Conference, 2024, Strona(/y) 1795-1801
Wydawca: -
DOI: 10.23919/ecc64448.2024.10590739

Combined MPC and reinforcement learning for traffic signal control in urban traffic networks

Autorzy: Willemijn Remmerswaal, Dingshan Sun, Anahita Jamshidnejad, Bart De Schutter
Opublikowane w: 2022 26th International Conference on System Theory, Control and Computing (ICSTCC), 2022, Strona(/y) 432-439
Wydawca: IEEE
DOI: 10.1109/icstcc55426.2022.9931771

Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees

Autorzy: Samuel Mallick, Azita Dabiri, Bart De Schutter
Opublikowane w: 2025 European Control Conference (ECC), 2025, Strona(/y) 345-350
Wydawca: IEEE
DOI: 10.23919/ecc65951.2025.11187256

Scenario-Based MPC for Real-Time Passenger-Centric Timetable Scheduling of Urban Rail Transit Networks

Autorzy: Liu, X. (author); Dabiri, A. (author); De Schutter, B.H.K. (author)
Opublikowane w: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Strona(/y) 2347-2352
Wydawca: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.1205

Integrated reinforcement learning and optimization for railway timetable rescheduling

Autorzy: H. Zhang, X. Liu, D. Sun, A. Dabiri, and B. De Schutter
Opublikowane w: Proceedings of the 17th IFAC Symposium on Control in Transportation Systems (CTS 2024, 2024, Strona(/y) 310-315
Wydawca: -
DOI: 10.1016/j.ifacol.2024.07.358

A Generalized Partitioning Strategy for Distributed Control

Autorzy: Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Opublikowane w: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Strona(/y) 6134-6141
Wydawca: IEEE
DOI: 10.1109/cdc56724.2024.10885848

Adaptive Parameterized Control for Coordinated traffic Management Using Reinforcement Learning

Autorzy: Sun, D. (author); Jamshidnejad, A. (author); De Schutter, B.H.K. (author)
Opublikowane w: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Strona(/y) 5463-5468
Wydawca: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.198

Stability and Performance Analysis of Model Predictive Control of Uncertain Linear Systems

Autorzy: Changrui Liu, Shengling Shi, Bart De Schutter
Opublikowane w: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Strona(/y) 7356-7362
Wydawca: IEEE
DOI: 10.1109/cdc56724.2024.10885798

Signal selection for local module identification in linear dynamic networks: A graphical approach

Autorzy: Shengling Shi, Xiaodong Cheng, Bart De Schutter, Paul M.J. Van den Hof
Opublikowane w: Proceedings of the 22nd IFAc World Congress / IFAC-PapersOnLine, 2023, Strona(/y) 2407-2412
Wydawca: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.1215

Provably-Stable Stochastic MPC for a Class of Nonlinear Contractive Systems

Autorzy: Cordiano, F. (author); Fochesato, Marta (author); Huang, Linbin (author); De Schutter, B.H.K. (author)
Opublikowane w: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Strona(/y) 11242-11248
Wydawca: IFAC
DOI: 10.1016/j.ifacol.2023.10.313

Efficient and Safe Learning-based Control of Piecewise Affine Systems Using Optimization-Free Safety Filters*

Autorzy: Kanghui He, Shengling Shi, Ton Van Den Boom, Bart De Schutter
Opublikowane w: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Strona(/y) 5046-5053
Wydawca: IEEE
DOI: 10.1109/cdc56724.2024.10886328

Probabilistically safe and efficient model-based reinforcement learning

Autorzy: Filippo Airaldi, Bart De Schutter, Azita Dabiri
Opublikowane w: 2025 IEEE 64th Conference on Decision and Control (CDC), 2026, Strona(/y) 5853-5860
Wydawca: IEEE
DOI: 10.1109/cdc57313.2025.11312525

A benchmark for multi-agent control of energy systems: The European economic area hybrid electricity network benchmark *

Autorzy: Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Opublikowane w: 2025 European Control Conference (ECC), 2025, Strona(/y) 2575-2582
Wydawca: IEEE
DOI: 10.23919/ecc65951.2025.11187247

A Behavioral Perspective on Models of Linear Dynamical Networks with Manifest Variables

Autorzy: S. Shi, Z. Sun, and B. De Schutter
Opublikowane w: Proceedings of the 2024 European Control Conference, 2024, Strona(/y) 2927-2933
Wydawca: -
DOI: 10.23919/ecc64448.2024.10591178

Scenario reduction with guarantees for stochastic optimal control of linear systems

Autorzy: F. Cordiano; B. De Schutter
Opublikowane w: Proceedings of the 2024 European Control Conference, 2024, Strona(/y) 3502-3508
Wydawca: -
DOI: 10.23919/ecc64448.2024.10590866

Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes

Autorzy: Airaldi, Filippo; De Schutter, Bart; Dabiri, Azita
Opublikowane w: Proceedings of the 22nd IFAC World Congress / Elsevier, 2023, Strona(/y) 5759-5764
Wydawca: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.563

Book chapters (1)

A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area

Autorzy: Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Opublikowane w: Advances in Industrial Control, Control Systems Benchmarks, 2025, Strona(/y) 9-28
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-76312-0_2