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Articles by De Schutter
Computer Science > Machine Learning
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Electrical Engineering and Systems Science > Systems and Control
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Mathematics > Optimization and Control
[Submitted on 20 Aug 2026] Title:On the Value Function of Infinite-Horizon Optimal Control of Piecewise Affine Systems View a PDF of the paper titled On the Value Function of Infinite-Horizon Optimal Control of Piecewise Affine Systems, by Francesco Cordiano and 2 other authors View PDF Abstract:In this paper, we study the structure of the value function in constrained infinite-time optimal control (CITOC) problems of piecewise affine (PWA) systems, with $\ell_1$ or $\ell_\infty$ stage cost.
Dodging the Moose: Experimental Insights in Real-Life Automated Collision Avoidance
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[2511.21343] Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models
arXiv:2511.21343 (eess) View PDF Comments: Subjects: Systems and Control (eess.SY) Cite as: arXiv:2511.21343 [eess.SY] (or arXiv:2511.21343v1 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2511.21343 Submission history From: Samuel Mallick [ view email] [v1] Wed, 26 Nov 2025 12:49:53 UTC (299 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?)...
[2511.16424] Second-Order MPC-Based Distributed Q-Learning
arXiv:2511.16424 (eess) View PDF Comments: Subjects: Systems and Control (eess.SY) Cite as: arXiv:2511.16424 [eess.SY] (or arXiv:2511.16424v1 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2511.16424 Submission history From: Samuel Mallick [ view email] [v1] Thu, 20 Nov 2025 14:46:54 UTC (224 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?)...
Fibrotic scarring prevents optic nerve regeneration despite preserved axonal growth potential in adult killifish
ORIGINAL RESEARCH article Front. Neurosci. Sec. Neurogenesis Fibrotic scarring prevents optic nerve regeneration despite preserved axonal growth potential in adult killifish Provisionally accepted Division of Animal Physiology and Neurobiology, Department of Biology, Neural Circuit Development and Regeneration Research Group, Leuven Brain Institute, KU Leuven, Leuven, Belgium The final, formatted version of the article will be published soon.
[2510.21321] Predictive control barrier functions for piecewise affine systems with non-smooth constraints
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[2510.20040] Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
arXiv:2510.20040 (eess) View PDF HTML (experimental) Comments: Subjects: Systems and Control (eess.SY); Artificial Intelligence (cs.AI); Optimization and Control (math.OC) Cite as: arXiv:2510.20040 [eess.SY] (or arXiv:2510.20040v1 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2510.20040 Submission history From: Changrui Liu [ view email] [v1] Wed, 22 Oct 2025 21:39:18 UTC (2,165 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers...
[2508.08153] Robust Adaptive Discrete-Time Control Barrier Certificate
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[2507.12969] WaveletInception Networks for Drive-by Vibration-Based Infrastructure Health Monitoring
[Submitted on 17 Jul 2025] Title:WaveletInception Networks for Drive-by Vibration-Based Infrastructure Health Monitoring View a PDF of the paper titled WaveletInception Networks for Drive-by Vibration-Based Infrastructure Health Monitoring, by Reza Riahi Samani and 2 other authors View PDF HTML (experimental) Abstract:This paper presents a novel deep learning-based framework for infrastructure health monitoring using drive-by vibration response signals.
The impact of the bedside check of medication appropriateness (BED-CMA) at the hematology ward: a mixed-methods study - International Journal of Clinical Pharmacy
Abstract Hematology patients have complex medication regimens and rapidly changing organ function, rendering them susceptible to medication errors. Health information technology can facilitate the detection of inappropriate prescriptions and assist healthcare professionals in enhancing patient safety.
[2504.20233] A state reduction approach for learning-based model predictive control for train rescheduling
[Submitted on 28 Apr 2025] Title:A state reduction approach for learning-based model predictive control for train rescheduling View a PDF of the paper titled A state reduction approach for learning-based model predictive control for train rescheduling, by Caio Fabio Oliveira da Silva and 3 other authors View PDF HTML (experimental) Abstract:This paper proposes a state reduction method for learning-based model predictive control (MPC) for train rescheduling in urban rail transit systems.
From concept to approval: human genomic data integration with population observational data – insights from a Belgian pilot study - Archives of Public Health
Reflecting on the implementation of the current pilot study reveals several recommendations for data linkage studies. Early engagement with all stakeholders, including data providers, legal teams, and ethics committees, is crucial for understanding constraints and avoid unnecessary feedback rounds. Having legal expertise with a clear understanding of the project’s needs within the team could avoid delays from external consultations.
[2504.00626] Probabilistically safe and efficient model-based Reinforcement Learning
arXiv:2504.00626 (eess) View PDF Comments: Subjects: Systems and Control (eess.SY) Cite as: arXiv:2504.00626 [eess.SY] (or arXiv:2504.00626v1 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2504.00626 Submission history From: Filippo Airaldi [ view email] [v1] Tue, 1 Apr 2025 10:24:54 UTC (135 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?)...
El debate en América Latina sobre la participación de los hombres en programas de salud reproductiva
Ayuda Buscar en la ayuda Buscar en la ayuda El debate en América Latina sobre la participación de los hombres en programas de salud reproductiva [1] Organización Panamericana de la Salud Localización: Revista Panamericana de Salud Pública = Pan American Journal of Public Health, ISSN-e 1680-5348, ISSN 1020-4989, Vol. 7, Nº.
[2503.11359] Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear Selection
arXiv:2503.11359 (eess) [Submitted on 14 Mar 2025 (v1), last revised 2 May 2025 (this version, v2)] View PDF Comments: Subjects: Systems and Control (eess.SY) Cite as: arXiv:2503.11359 [eess.SY] (or arXiv:2503.11359v2 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2503.11359 Submission history From: Samuel Mallick [ view email] [v1] Fri, 14 Mar 2025 12:53:05 UTC (209 KB) [v2] Fri, 2 May 2025 08:17:22 UTC (141 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic...
[2502.21126] A general partitioning strategy for non-centralized control
[Submitted on 28 Feb 2025] Title:A general partitioning strategy for non-centralized control View a PDF of the paper titled A general partitioning strategy for non-centralized control, by Alessandro Riccardi and 2 other authors View PDF HTML (experimental) Abstract:Partitioning is a fundamental challenge for non-centralized control of large-scale systems, such as hierarchical, decentralized, distributed, and coalitional strategies.
[2412.04882] Nonmyopic Global Optimisation via Approximate Dynamic Programming
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[2412.02643] A Bidirectional Long Short Term Memory Approach for Infrastructure Health Monitoring Using On-board Vibration Response
[Submitted on 3 Dec 2024] Title:A Bidirectional Long Short Term Memory Approach for Infrastructure Health Monitoring Using On-board Vibration Response View a PDF of the paper titled A Bidirectional Long Short Term Memory Approach for Infrastructure Health Monitoring Using On-board Vibration Response, by R. R.
[2412.00490] Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees
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[2410.16960] Iterative Cut-Based PWA Approximation of Multi-Dimensional Nonlinear Systems
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[2409.12789] Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2409.11267] Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
[Submitted on 17 Sep 2024] Title:Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids View a PDF of the paper titled Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids, by Caio Fabio Oliveira da Silva and 2 other authors View PDF HTML (experimental) Abstract:This work proposes an approach that integrates reinforcement learning and model predictive control (MPC) to efficiently solve finite-horizon optimal...
[2405.20387] Sensitivity Analysis for Piecewise-Affine Approximations of Nonlinear Programs with Polytopic Constraints
arXiv:2405.20387 (eess) View PDF Comments: Subjects: Systems and Control (eess.SY); Optimization and Control (math.OC) Cite as: arXiv:2405.20387 [eess.SY] (or arXiv:2405.20387v1 [eess.SY] for this version) Submission history From: Leila Gharavi [ view email] [v1] Thu, 30 May 2024 18:00:11 UTC (76 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data,...
BILTS: A Bi-Invariant Similarity Measure for Robust Object Trajectory Recognition under Reference Frame Variations
[Submitted on 7 May 2024 ( v1 ), last revised 17 Jan 2025 (this version, v2)] Title:BILTS: A Bi-Invariant Similarity Measure for Robust Object Trajectory Recognition under Reference Frame Variations View a PDF of the paper titled BILTS: A Bi-Invariant Similarity Measure for Robust Object Trajectory Recognition under Reference Frame Variations, by Arno Verduyn and 4 other authors View PDF HTML (experimental) Abstract:When similar object motions are performed in diverse contexts but are meant...
[2404.01900] Automatic Derivation of an Optimal Task Frame for Learning and Controlling Contact-Rich Tasks
[Submitted on 2 Apr 2024] Title:Automatic Derivation of an Optimal Task Frame for Learning and Controlling Contact-Rich Tasks View a PDF of the paper titled Automatic Derivation of an Optimal Task Frame for Learning and Controlling Contact-Rich Tasks, by Ali Mousavi Mohammadi and 2 other authors View PDF HTML (experimental) Abstract:This study investigates learning from demonstration (LfD) for contact-rich tasks.
[2403.14372] A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area
[Submitted on 21 Mar 2024] Title:A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area Download a PDF of the paper titled A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area, by A.
Entanglement Definitions for Tethered Robots: Exploration and Analysis
[Submitted on 7 Feb 2024 ( v1 ), last revised 23 Jan 2025 (this version, v2)] Title:Entanglement Definitions for Tethered Robots: Exploration and Analysis View a PDF of the paper titled Entanglement Definitions for Tethered Robots: Exploration and Analysis, by Gianpietro Battocletti and 4 other authors View PDF Abstract:In this article we consider the problem of tether entanglement for tethered mobile robots.
A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle Platooning
arXiv:2401.09878 (eess) [Submitted on 18 Jan 2024 (v1), last revised 19 Jan 2024 (this version, v2)] Download PDF Comments: Subjects: Systems and Control (eess.SY) Cite as: arXiv:2401.09878 [eess.SY] (or arXiv:2401.09878v2 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2401.09878 Submission history From: Samuel Mallick [ view email] [v1] Thu, 18 Jan 2024 10:50:07 UTC (686 KB) [v2] Fri, 19 Jan 2024 10:57:57 UTC (686 KB) Bibliographic Tools Bibliographic Explorer Toggle...
State-action control barrier functions: Imposing safety on learning-based control with low online computational costs
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[2312.05166] Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator
arXiv:2312.05166 (eess) [Submitted on 8 Dec 2023 (v1), last revised 18 Jan 2024 (this version, v2)] Download PDF Comments: Subjects: Systems and Control (eess.SY) Cite as: arXiv:2312.05166 [eess.SY] (or arXiv:2312.05166v2 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2312.05166 Submission history From: Samuel Mallick [ view email] [v1] Fri, 8 Dec 2023 16:47:09 UTC (2,019 KB) [v2] Thu, 18 Jan 2024 12:43:59 UTC (1,849 KB) Bibliographic Tools Bibliographic Explorer Toggle...
[2311.08820] Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2310.17381] Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios
[Submitted on 26 Oct 2023 ( v1 ), last revised 25 Sep 2024 (this version, v2)] Title:Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios View a PDF of the paper titled Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios, by Leila Gharavi and 4 other authors View PDF Abstract:Uncertainty in the behavior of other traffic participants is a crucial factor in collision avoidance for automated driving; here, stochastic metrics could...
Geometric Conformability of 3D Concrete Printing Mixtures from a Rheological Perspective
3. Results and Discussion 3.1. Flow Curve The rheological behavior of cement-based mixtures is crucial for their flow properties during 3DCP. In this study, four print-enabling pastes were formulated aiming for different evolutions of rheological properties. The objective was to ensure that the mixtures possessed the same initial yield stress but exhibited varying degrees of yield stress development over time, thereby enabling the examination of a distinct range of behaviors.
[2309.11413] Enhancing motion trajectory segmentation of rigid bodies using a novel screw-based trajectory-shape representation
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
A [CoSiH2] Silylene Synthon Provides Modular Access to Homo- and Heterobimetallic [Co═Si═M] (M = Co, Fe) Silicide Complexes
Transition-metal–silicon materials are of broad importance to industry, catalysis, and solid-state technologies. (1−6) This is especially apparent in the direct process, which is responsible for the global production of chlorosilanes that serve as precursors to the silicone industry.
A [CoSiH2] Silylene Synthon Provides Modular Access to Homo- and Heterobimetallic [Co═Si═M] (M = Co, Fe) Silicide Complexes
Transition-metal–silicon materials are of broad importance to industry, catalysis, and solid-state technologies. (1−6) This is especially apparent in the direct process, which is responsible for the global production of chlorosilanes that serve as precursors to the silicone industry.
Efficient simulation of neural development using shared memory parallelization
Introduction Neural development is more than just growing another organ. During brain development, newly born neurons already establish initial connectivity. This enables infants to immediately start rewiring their networks during learning. Consequently, the experimental study on neural development is a large domain in neuroscience (Sanes et al., 2019). Conversely, rather little computational modeling of neural development has been published despite its clear importance in forming neural networks.
[2306.10926] Invariant Descriptors of Motion and Force Trajectories for Interpreting Object Manipulation Tasks in Contact
[Submitted on 19 Jun 2023 ( v1 ), last revised 5 Dec 2023 (this version, v2)] Title:Invariant Descriptors of Motion and Force Trajectories for Interpreting Object Manipulation Tasks in Contact Download a PDF of the paper titled Invariant Descriptors of Motion and Force Trajectories for Interpreting Object Manipulation Tasks in Contact, by Maxim Vochten and 5 other authors Download PDF Abstract:Invariant descriptors of point and rigid-body motion trajectories have been proposed in the past as...
Racial/Ethnic Disparities in Cervical Cancer Stage at Diagnosis: Mediating Effects of Neighborhood-level Socioeconomic Deprivation
In this population-based study, cervical cancer stage at diagnosis varied by race/ethnicity and neighborhood SES. NHB and Hispanic women were more likely to be diagnosed with LCC, compared with NHW women, and greater neighborhood socioeconomic disadvantage was associated with LCC diagnosis.
Separate units for incarcerated people who committed sexual offenses: luxury or necessity?
Introduction A significant number of the general population will encounter some form of sexual violence. Keygnaert et al. (1) conducted a large-scale Belgian survey (n = 2,115) showing that 64% of respondents were victimized by some kind of sexually transgressive behavior in their lifetime. The study distinguished between hands-off (without touching, e.g., inappropriate sexual proposal) and hands-on (with touching, e.g., sexual assault) sexually transgressive behavior.
Multidimensional cerebellar computations for flexible kinematic control of movements
Nature Communications, May 2023 This is a preview of a remote PDF: https://www.nature.com/articles/s41467-023-37981-0.pdf Markanday, Akshay, Hong, Sungho, Inoue, Junya, De Schutter, Erik, Thier, Peter. , Nature Communications, DOI: 10.1038/s41467-023-37981-0
Efficient simulation of neural development using shared memory parallelization
Erik De Schutter1, 2* 1Okinawa Institute of Science and Technology Graduate University, Japan 2University of Antwerp, Belgium The final, formatted version of the article will be published soon. Receive an email when it is updated You just subscribed to receive the final version of the article The Neural Development Simulator, NeuroDevSim, is a Python module that simulates the most important aspects of brain development: morphological growth, migration and pruning.
[2304.12649] Using Intent Estimation and Decision Theory to Support Lifting Motions with a Quasi-Passive Hip Exoskeleton
This paper compares three controllers for quasi-passive exoskeletons. The Utility Maximizing Controller (UMC) uses intent estimation to recognize user motions and decision theory to activate the support mechanism. The intent estimation algorithm requires demonstrations for each motion to be recognized. Depending on what motion is recognized, different control signals are sent to the exoskeleton.
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