A novel control paradigm for large-scale hybrid networks

Project Information

CLariNet

Grant agreement ID: 101018826

DOI

10.3030/101018826

EC signature date 5 May 2021

Start date 1 October 2021

End date 30 September 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 2 500 000,00

EU contribution

€ 2 500 000,00

Coordinated by

TECHNISCHE UNIVERSITEIT DELFT
Netherlands

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Open Research Data Pilot (1)

Data Management Plan

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

Publications

Peer reviewed articles (19)

On the Regret of Model Predictive Control With Imperfect Inputs

Author(s): Changrui Liu, Shengling Shi, Bart De Schutter
Published in: IEEE Control Systems Letters, Issue 9, 2025, Page(s) 601-606, ISSN 2475-1456
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/lcsys.2025.3577083

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

Author(s): Mallick, Samuel; Airaldi, Filippo; Dabiri, Azita; De Schutter, Bart
Published in: Automatica, Issue 4, 2024, Page(s) 111803, ISSN 0005-1098
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2024.111803

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

Author(s): Samuel Mallick, Azita Dabiri, Bart De Schutter
Published in: IEEE Transactions on Automatic Control, Issue 70, 2025, Page(s) 3727-3741, ISSN 0018-9286
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2024.3512334

Reinforcement Learning With Model Predictive Control for Highway Ramp Metering

Author(s): Filippo Airaldi, Bart De Schutter, Azita Dabiri
Published in: IEEE Transactions on Intelligent Transportation Systems, Issue 26, 2025, Page(s) 5988-6004, ISSN 1524-9050
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2025.3549227

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

Author(s): He, Kanghui; Shi, Shengling; Boom, Ton van den; De Schutter, Bart
Published in: Automatica, Issue 160, 2024, Page(s) 111456, ISSN 0005-1098
Publisher: 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

Author(s): Xiaoyu Liu; Azita Dabiri; Jing Xun; Bart De Schutter
Published in: Transportation Research Part E: Logistics and Transportation Review, Issue 180, 2023, Page(s) 103339, ISSN 1366-5545
Publisher: 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

Author(s): A. Jamshidnejad and B. De Schutter
Published in: Computers and Electrical Engineering, 2024, Page(s) 109552, ISSN 0045-7906
Publisher: 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

Author(s): A. Ilioudi, A. Dabiri, B. J. Wolf and B. De Schutter
Published in: IEEE Access, Issue 10, 2022, Page(s) 34562-34576, ISSN 2169-3536
Publisher: 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

Author(s): Xiaoyu Liu, Azita Dabiri, Yihui Wang, Jing Xun, Bart De Schutter
Published in: IEEE Transactions on Intelligent Transportation Systems, Issue 25, 2024, Page(s) 20753-20766, ISSN 1524-9050
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2024.3458169

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

Author(s): D. Sun, A. Jamshidnejad, and B. De Schutter
Published in: Engineering Applications of Artificial Intelligence, 2024, Page(s) 109009, ISSN 0952-1976
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2024.109009

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

Author(s): Xiaoyu Liu; Azita Dabiri; Yihui Wang; Bart De Schutter
Published in: IEEE Transactions on Intelligent Transportation Systems, Issue 24, 2023, Page(s) 3325-3338, ISSN 1524-9050
Publisher: 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

Author(s): Samuel Mallick, Gianpietro Battocletti, Qizhang Dong, Azita Dabiri, Bart De Schutter
Published in: IEEE Control Systems Letters, Issue 9, 2025, Page(s) 1117-1122, ISSN 2475-1456
Publisher: 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

Author(s): Shengling Shi; Othmane Mazhar; Bart De Schutter
Published in: IEEE Control Systems Letters, Issue 7, 2023, Page(s) 121-126, ISSN 2475-1456
Publisher: IEEE
DOI: 10.48550/arxiv.2203.09862

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

Author(s): Dingshan Sun; Anahita Jamshidnejad; Bart De Schutter
Published in: IEEE Transactions on Intelligent Transportation Systems, 2024, Page(s) 6756-6769, ISSN 1524-9050
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2023.3342651

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

Author(s): Joost Jeschke; Dingshan Sun; Anahita Jamshidnejad; Bart De Schutter
Published in: Control Engineering Practice, Issue 132, 2023, Page(s) 105431, ISSN 0967-0661
Publisher: 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

Author(s): Xiaoyu Liu; Azita Dabiri; Yihui Wang; Bart De Schutter
Published in: IEEE Transactions on Intelligent Transportation Systems, Issue 25, 2024, Page(s) 4219-4232, ISSN 1524-9050
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2023.3329445

Reinforcement learning-based model predictive control for greenhouse climate control

Author(s): Samuel Mallick, Filippo Airaldi, Azita Dabiri, Congcong Sun, Bart De Schutter
Published in: Smart Agricultural Technology, Issue 10, 2025, Page(s) 100751, ISSN 2772-3755
Publisher: Elsevier BV
DOI: 10.1016/j.atech.2024.100751

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

Author(s): Anahita Jamshidnejad; Dingshan Sun; Antonella Ferrara; Bart De Schutter
Published in: Transportation Research Part C: Emerging Technologies, Issue 156, 2023, Page(s) 104334, ISSN 0968-090X
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trc.2023.104334

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

Author(s): L. Gharavi; C. Liu; B. De Schutter; and S. Baldi
Published in: IEEE Control Systems Letters, 2024, Page(s) 1271-1276, ISSN 2475-1456
Publisher: IEEE
DOI: 10.1109/lcsys.2024.3408711

Conference proceedings (12)

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

Author(s): Athrey, Archith; Mazhar, Othmane; Guo, Meichen; De Schutter, Bart; Shi, Shengling
Published in: Proceedings of the 2024 European Control Conference, 2024, Page(s) 1795-1801
Publisher: -
DOI: 10.23919/ecc64448.2024.10590739

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

Author(s): Liu, X. (author); Dabiri, A. (author); De Schutter, B.H.K. (author)
Published in: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Page(s) 2347-2352
Publisher: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.1205

Integrated reinforcement learning and optimization for railway timetable rescheduling

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

A Generalized Partitioning Strategy for Distributed Control

Author(s): Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Published in: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Page(s) 6134-6141
Publisher: IEEE
DOI: 10.1109/cdc56724.2024.10885848

Adaptive Parameterized Control for Coordinated traffic Management Using Reinforcement Learning

Author(s): Sun, D. (author); Jamshidnejad, A. (author); De Schutter, B.H.K. (author)
Published in: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Page(s) 5463-5468
Publisher: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.198

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

Author(s): Changrui Liu, Shengling Shi, Bart De Schutter
Published in: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Page(s) 7356-7362
Publisher: IEEE
DOI: 10.1109/cdc56724.2024.10885798

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

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

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

Author(s): Cordiano, F. (author); Fochesato, Marta (author); Huang, Linbin (author); De Schutter, B.H.K. (author)
Published in: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Page(s) 11242-11248
Publisher: IFAC
DOI: 10.1016/j.ifacol.2023.10.313

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

Author(s): Kanghui He, Shengling Shi, Ton Van Den Boom, Bart De Schutter
Published in: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Page(s) 5046-5053
Publisher: IEEE
DOI: 10.1109/cdc56724.2024.10886328

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

Author(s): S. Shi, Z. Sun, and B. De Schutter
Published in: Proceedings of the 2024 European Control Conference, 2024, Page(s) 2927-2933
Publisher: -
DOI: 10.23919/ecc64448.2024.10591178

Scenario reduction with guarantees for stochastic optimal control of linear systems

Author(s): F. Cordiano; B. De Schutter
Published in: Proceedings of the 2024 European Control Conference, 2024, Page(s) 3502-3508
Publisher: -
DOI: 10.23919/ecc64448.2024.10590866

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

Author(s): Airaldi, Filippo; De Schutter, Bart; Dabiri, Azita
Published in: Proceedings of the 22nd IFAC World Congress / Elsevier, 2023, Page(s) 5759-5764
Publisher: 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

Author(s): Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Published in: Advances in Industrial Control, Control Systems Benchmarks, 2025, Page(s) 9-28
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-76312-0_2