A novel control paradigm for large-scale hybrid networks

Información del proyecto

CLariNet

Identificador del acuerdo de subvención: 101018826

DOI

10.3030/101018826

Fecha de la firma de la CE 5 Mayo 2021

Fecha de inicio 1 Octubre 2021

Fecha de finalización 30 Septiembre 2026

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 2 500 000,00

Aportación de la UE

€ 2 500 000,00

Coordinado por

TECHNISCHE UNIVERSITEIT DELFT
Netherlands

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 .

Resultado final

Open Research Data Pilot (1)

Data Management Plan

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

Publicaciones

Peer reviewed articles (19)

On the Regret of Model Predictive Control With Imperfect Inputs

Autores: Changrui Liu, Shengling Shi, Bart De Schutter
Publicado en: IEEE Control Systems Letters, Edición 9, 2025, Página(s) 601-606, ISSN 2475-1456
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/lcsys.2025.3577083

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

Autores: Mallick, Samuel; Airaldi, Filippo; Dabiri, Azita; De Schutter, Bart
Publicado en: Automatica, Edición 4, 2024, Página(s) 111803, ISSN 0005-1098
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2024.111803

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

Autores: Samuel Mallick, Azita Dabiri, Bart De Schutter
Publicado en: IEEE Transactions on Automatic Control, Edición 70, 2025, Página(s) 3727-3741, ISSN 0018-9286
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2024.3512334

Reinforcement Learning With Model Predictive Control for Highway Ramp Metering

Autores: Filippo Airaldi, Bart De Schutter, Azita Dabiri
Publicado en: IEEE Transactions on Intelligent Transportation Systems, Edición 26, 2025, Página(s) 5988-6004, ISSN 1524-9050
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2025.3549227

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

Autores: He, Kanghui; Shi, Shengling; Boom, Ton van den; De Schutter, Bart
Publicado en: Automatica, Edición 160, 2024, Página(s) 111456, ISSN 0005-1098
Editor: 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

Autores: Xiaoyu Liu; Azita Dabiri; Jing Xun; Bart De Schutter
Publicado en: Transportation Research Part E: Logistics and Transportation Review, Edición 180, 2023, Página(s) 103339, ISSN 1366-5545
Editor: 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

Autores: A. Jamshidnejad and B. De Schutter
Publicado en: Computers and Electrical Engineering, 2024, Página(s) 109552, ISSN 0045-7906
Editor: 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

Autores: A. Ilioudi, A. Dabiri, B. J. Wolf and B. De Schutter
Publicado en: IEEE Access, Edición 10, 2022, Página(s) 34562-34576, ISSN 2169-3536
Editor: 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

Autores: Xiaoyu Liu, Azita Dabiri, Yihui Wang, Jing Xun, Bart De Schutter
Publicado en: IEEE Transactions on Intelligent Transportation Systems, Edición 25, 2024, Página(s) 20753-20766, ISSN 1524-9050
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2024.3458169

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

Autores: D. Sun, A. Jamshidnejad, and B. De Schutter
Publicado en: Engineering Applications of Artificial Intelligence, 2024, Página(s) 109009, ISSN 0952-1976
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2024.109009

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

Autores: Xiaoyu Liu; Azita Dabiri; Yihui Wang; Bart De Schutter
Publicado en: IEEE Transactions on Intelligent Transportation Systems, Edición 24, 2023, Página(s) 3325-3338, ISSN 1524-9050
Editor: 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

Autores: Samuel Mallick, Gianpietro Battocletti, Qizhang Dong, Azita Dabiri, Bart De Schutter
Publicado en: IEEE Control Systems Letters, Edición 9, 2025, Página(s) 1117-1122, ISSN 2475-1456
Editor: 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

Autores: Shengling Shi; Othmane Mazhar; Bart De Schutter
Publicado en: IEEE Control Systems Letters, Edición 7, 2023, Página(s) 121-126, ISSN 2475-1456
Editor: IEEE
DOI: 10.48550/arxiv.2203.09862

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

Autores: Dingshan Sun; Anahita Jamshidnejad; Bart De Schutter
Publicado en: IEEE Transactions on Intelligent Transportation Systems, 2024, Página(s) 6756-6769, ISSN 1524-9050
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2023.3342651

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

Autores: Joost Jeschke; Dingshan Sun; Anahita Jamshidnejad; Bart De Schutter
Publicado en: Control Engineering Practice, Edición 132, 2023, Página(s) 105431, ISSN 0967-0661
Editor: 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

Autores: Xiaoyu Liu; Azita Dabiri; Yihui Wang; Bart De Schutter
Publicado en: IEEE Transactions on Intelligent Transportation Systems, Edición 25, 2024, Página(s) 4219-4232, ISSN 1524-9050
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2023.3329445

Reinforcement learning-based model predictive control for greenhouse climate control

Autores: Samuel Mallick, Filippo Airaldi, Azita Dabiri, Congcong Sun, Bart De Schutter
Publicado en: Smart Agricultural Technology, Edición 10, 2025, Página(s) 100751, ISSN 2772-3755
Editor: Elsevier BV
DOI: 10.1016/j.atech.2024.100751

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

Autores: Anahita Jamshidnejad; Dingshan Sun; Antonella Ferrara; Bart De Schutter
Publicado en: Transportation Research Part C: Emerging Technologies, Edición 156, 2023, Página(s) 104334, ISSN 0968-090X
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.trc.2023.104334

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

Autores: L. Gharavi; C. Liu; B. De Schutter; and S. Baldi
Publicado en: IEEE Control Systems Letters, 2024, Página(s) 1271-1276, ISSN 2475-1456
Editor: IEEE
DOI: 10.1109/lcsys.2024.3408711

Conference proceedings (12)

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

Autores: Athrey, Archith; Mazhar, Othmane; Guo, Meichen; De Schutter, Bart; Shi, Shengling
Publicado en: Proceedings of the 2024 European Control Conference, 2024, Página(s) 1795-1801
Editor: -
DOI: 10.23919/ecc64448.2024.10590739

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

Autores: Liu, X. (author); Dabiri, A. (author); De Schutter, B.H.K. (author)
Publicado en: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Página(s) 2347-2352
Editor: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.1205

Integrated reinforcement learning and optimization for railway timetable rescheduling

Autores: H. Zhang, X. Liu, D. Sun, A. Dabiri, and B. De Schutter
Publicado en: Proceedings of the 17th IFAC Symposium on Control in Transportation Systems (CTS 2024, 2024, Página(s) 310-315
Editor: -
DOI: 10.1016/j.ifacol.2024.07.358

A Generalized Partitioning Strategy for Distributed Control

Autores: Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Publicado en: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Página(s) 6134-6141
Editor: IEEE
DOI: 10.1109/cdc56724.2024.10885848

Adaptive Parameterized Control for Coordinated traffic Management Using Reinforcement Learning

Autores: Sun, D. (author); Jamshidnejad, A. (author); De Schutter, B.H.K. (author)
Publicado en: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Página(s) 5463-5468
Editor: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.198

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

Autores: Changrui Liu, Shengling Shi, Bart De Schutter
Publicado en: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Página(s) 7356-7362
Editor: IEEE
DOI: 10.1109/cdc56724.2024.10885798

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

Autores: Shengling Shi, Xiaodong Cheng, Bart De Schutter, Paul M.J. Van den Hof
Publicado en: Proceedings of the 22nd IFAc World Congress / IFAC-PapersOnLine, 2023, Página(s) 2407-2412
Editor: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.1215

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

Autores: Cordiano, F. (author); Fochesato, Marta (author); Huang, Linbin (author); De Schutter, B.H.K. (author)
Publicado en: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Página(s) 11242-11248
Editor: IFAC
DOI: 10.1016/j.ifacol.2023.10.313

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

Autores: Kanghui He, Shengling Shi, Ton Van Den Boom, Bart De Schutter
Publicado en: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Página(s) 5046-5053
Editor: IEEE
DOI: 10.1109/cdc56724.2024.10886328

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

Autores: S. Shi, Z. Sun, and B. De Schutter
Publicado en: Proceedings of the 2024 European Control Conference, 2024, Página(s) 2927-2933
Editor: -
DOI: 10.23919/ecc64448.2024.10591178

Scenario reduction with guarantees for stochastic optimal control of linear systems

Autores: F. Cordiano; B. De Schutter
Publicado en: Proceedings of the 2024 European Control Conference, 2024, Página(s) 3502-3508
Editor: -
DOI: 10.23919/ecc64448.2024.10590866

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

Autores: Airaldi, Filippo; De Schutter, Bart; Dabiri, Azita
Publicado en: Proceedings of the 22nd IFAC World Congress / Elsevier, 2023, Página(s) 5759-5764
Editor: 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

Autores: Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Publicado en: Advances in Industrial Control, Control Systems Benchmarks, 2025, Página(s) 9-28
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-76312-0_2