All dynamical systems and control publications
icteam | Louvain-la-Neuve
DIAL ICTEAM - Dynamical systems and control
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Article de journalRotaru, T., Glineur, F., & Patrinos, P. (2026). Exact worst-case convergence rates of gradient descent: a complete analysis for all constant stepsizes over nonconvex and convex functions. Mathematical Programming. Published. https://doi.org/10.1007/s10107-025-02313-1 (Original work published 2026)
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Colla, S., & Hendrickx, J. (2026). Exploiting Agent Symmetries for Performance Analysis of Distributed Optimization Methods. Open Journal of Mathematical Optimization, 7(1), 1-42. https://doi.org/10.5802/ojmo.49 (Original work published 2026)
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Benner, P., & Van Dooren, P. (2026). On commuting matrices and pencils. Linear Algebra and its Applications, 738, 25-44. https://doi.org/10.1016/j.laa.2026.02.032 (Original work published 2026)
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Vernimmen, P., & Glineur, F. (2026). Worst-case convergence analysis of relatively inexact gradient descent on smooth convex functions. Neurocomputing, 660, 131883. https://doi.org/10.1016/j.neucom.2025.131883 (Original work published 2026)
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Kalidindi, H. T., & Crevecoeur, F. (2026). Feedback control of random networks as a model of flexible motor cortical dynamics across tasks. Cell Reports, 45(2), 116991. https://doi.org/10.1016/j.celrep.2026.116991 (Original work published 2026)
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Bianchin, G., Vaquero, M., Cortés, J., & Dall’Anese, E. (2026). The Role of Network Connectivity in Distributed k-Agreement Protocols. Automatica, 185(112753). https://doi.org/10.1016/j.automatica.2025.112753 (Original work published 2026)
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Vizuete Haro, R. S., & Hendrickx, J. (2026). Nonlinear Network Identifiability With Full Excitations. IEEE Transactions on Automatic Control, 1-15. https://doi.org/10.1109/tac.2026.3704036 (Original work published 2026)
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Chapitre de livreBeghin, P., Ceulemans, A.-E., & Glineur, F. (2026). A Discussion About Violin Reduction: Geometric Analysis of Contour Lines and Channel of Minima. In Furferi, R., Governi, L., Volpe, Y., Gherardini, F., Seymour, K. (eds) (ed.), Lecture Notes in Mechanical Engineering : The Future of Heritage Science and Technologies II (p. p. 432-446). Springer / Springer-Cham. https://doi.org/10.1007/978-3-031-98379-5_33
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Article de journalLaudadio, T., Mastronardi, N., Marcellán Español, F., Van Buggenhout, N., & Van Dooren, P. (2025). On computing the zeros of Laguerre–Sobolev polynomials. Numerical Algorithms, 100(4), 1507-1526. https://doi.org/10.1007/s11075-025-02021-z (Original work published 2025)
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Huang, W., Wei, M., Gallivan, K., & Van Dooren, P. (2025). A Riemannian Optimization Approach to Clustering Problems. Journal of Scientific Computing, 103(1). https://doi.org/10.1007/s10915-025-02806-3 (Original work published 2025)
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Dmytryshyn, A., Dopico, F., & Van Dooren, P. (2025). Minimal rank factorizations of polynomial matrices. Linear Algebra and its Applications, 721, 736-774. https://doi.org/10.1016/j.laa.2025.01.009 (Original work published 2025)
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Mehrnoosh, A., Speciale, G., Brumali, R., Notarstefano, G., & Bianchin, G. (2025). ARGFree: A Randomized Gradient-Free algorithm for Aggregative Cooperative Optimization and Applications to Robotic Formation (Extended Version). IEEE Transactions on Control of Network Systems. Submitted. (Original work published 2025)
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Fanuel, M., Aspeel, A., Schaub, M. T., & Delvenne, J.-C. (2025). Ellipsoidal Embeddings of Graphs. SIAM Journal on Applied Mathematics, 85(2), 413-432. https://doi.org/10.1137/24m1648363 (Original work published 2025)
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Doré, S., Coutinho, J., Khan, A. Z., Lefèvre, P., & Blohm, G. (2025). Latency and amplitude of catch-up saccades to accelerating targets. Journal of Neurophysiology, 133(1), 3-13. https://doi.org/10.1152/jn.00123.2024 (Original work published 2025)
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Mattenet, S., Van der Linden, T., & Jungers, R. (2025). The cohomology objects of a semi-abelian variety are small. Theory and Applications of Categories, 44(22), 643-663. https://doi.org/10.48550/arXiv.2411.17200 (Original work published 2025)
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Van Scoy, B., & Bianchin, G. (2025). Feedback Optimization of Dynamical Systems in Time-Varying Environments: An Internal Model Principle Approach. IEEE Transactions on Cognitive and Developmental Systems. Submitted. https://doi.org/10.48550/arXiv.2508.03503 (Original work published 2025)
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Rocher, L., Hendrickx, J., & Montjoye, Y.-A. d. (2025). A scaling law to model the effectiveness of identification techniques. Nature Communications, 16(1). https://doi.org/10.1038/s41467-024-55296-6 (Original work published 2025)
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Zamani, M., & Glineur, F. (2025). Exact convergence rate of the last iterate in subgradient methods. SIAM Journal on Optimization, 35(3), 2182-2201. https://doi.org/10.1137/24M1717762 (Original work published 2025)
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Bianchin, G., & Van Scoy, B. (2025). The Internal Model Principle of Time-Varying Optimization. IEEE Transactions on Automatic Control. Accepted/in-press. https://doi.org/10.48550/arXiv.2407.08037 (Original work published 2025)
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Coutinho, J. D., Huang, J., Lefèvre, P., Blohm, G., & Munoz, D. P. (2025). Main Sequence of Human Luminance-evoked Pupil Dynamics. Journal of Cognitive Neuroscience, 37(4), 840-852. https://doi.org/10.1162/jocn_a_02296 (Original work published 2025)
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Anand, M., Jungers, R., Zamani, M., & Allgöwer, F. (2025). On the Completeness and Ordering of Path-Complete Barrier Functions. arXiv. Submitted. https://doi.org/10.48550/arXiv.2503.19561 (Original work published 2025)
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Nabou, Y., Glineur, F., & Necoara, I. (2025). Proximal gradient methods with inexact oracle of degree q for composite optimization. Optimization Letters, 19(2), 285-306. https://doi.org/10.1007/s11590-024-02118-9 (Original work published 2025)
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Banse, A., Romao, L., abate, A., & Jungers, R. (2025). Data-driven memory-dependent abstractions of dynamical systems via a Cantor-Kantorovich metric. IEEE Transactions on Automatic Control, 70(12), 8092-8103. https://doi.org/10.48550/arXiv.2405.08353 (Original work published 2025)
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Vandamme, C., Otlet, V., Ronsse, R., & Crevecoeur, F. (2025). Measured and modelled transitions between self-paced walking and synchronization with rhythmic auditory cues. Journal of Neurophysiology. Accepted/in-press. https://doi.org/10.1152/jn.00134.2025 (Original work published 2025)
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Delvenne, J.-C., & Van Brandt, L. (2025). Moments of Entropy Production in Dissipative Devices. Physical Review Letters, 134(23). https://doi.org/10.1103/jqsx-ycjv (Original work published 2025)
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Farid, Y., & Jungers, R. (2025). Binary Combinatorial Optimization-based Path Planning and Optimal Reach Control in Piecewise Linear Neural Abstraction Domain. Neurocomputing, 669. https://doi.org/10.1016/j.neucom.2025.132504 (Original work published 2026)
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Absil, P.-A., & Mataigne, S. (2025). The Ultimate Upper Bound on the Injectivity Radius of the Stiefel Manifold. SIAM Journal on Matrix Analysis and Applications, 46(2), 1145-1167. https://doi.org/10.1137/24m1644808 (Original work published 2025)
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Doumont, D., Kao, Anika R., Lambert, J., Wielant, F., Gerling, Gregory J., Delhaye, B., & Lefèvre, P. (2025). 3-D Reconstruction of Fingertip Deformation During Contact Initiation. Multisensory Research, 1-26. https://doi.org/10.1163/22134808-bja10168 (Original work published 2025)
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Bonnin, M., Bonani, F., Delvenne, J.-C., Van Brandt, L., & Traversa, F. (2025). Thermodynamically Consistent Noise Modeling in Non-Linear Circuits. Fluctuation and Noise Letters, 135. https://doi.org/10.1142/s021947752540019x (Original work published 2025)
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Papier de conférenceVan Dessel, G., & Glineur, F. (2025). Presolve techniques for quasi-convex chance constraints with finite-support low-dimensional uncertainty. Proceedings of the 5th International Conference on MCO 2025. Published. 5th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, Metz, France.
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Bayat, A., Abate, A., Ozay, N., & Jungers, R. (2025). LLM-Enhanced Symbolic Control for Safety-Critical Applications. IFAC-PapersOnLine, 59(26), 43-48. https://doi.org/10.1016/j.ifacol.2025.12.008 (Original work published 2025)
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ANDRIANASOLO, M. N., RALANTONIRINA, M. R., baillet, D., Wertz, V., & NTIBASHIRAKANDI, L. (2025). Une expérience malgache en matière de formation professionnelle des enseignants du supérieur : impact et perspectives du Certificat en pédagogie universitaire (CPU) enraciné à l’Université d’Antananarivo – Madagascar. QPES2025 :Questions de Pédagogies dans l’Enseignement Supérieur, Brest, France.
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Mehrnoosh, A., & Bianchin, G. (2025). Optimization of Linear Multi-Agent Dynamical Systems via Feedback Distributed Gradient Descent Methods. 2025 American Control Conference (ACC). Published. 2025 American Control Conference (ACC), Denver, CO, USA. https://doi.org/10.23919/acc63710.2025.11107569 (Original work published 2025)
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Banse, A., Delimpaltadakis, G., Laurenti, L., Mazo, M., & Jungers, R. (2025). Memory-dependent abstractions of stochastic systems through the lens of transfer operators. Proceedings of the 28th ACM International Conference on Hybrid Systems: Computation and Control, 3, 1-12. https://doi.org/10.1145/3716863.3718039 (Original work published 2025)
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Vernimmen, P., & Glineur, F. (2025). Empirical and computer-aided robustness analysis of long-step and accelerated methods in smooth convex optimization. Proceedings of the 5th International Conference on MCO 2025. Published. 5th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, Metz, France.
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Rotaru, T., Patrinos, P., & Glineur, F. (2025). Tight Convergence Rates in Gradient Mapping for the Difference-of Convex Algorithm. Proceedings of the 5th International Conference on MCO 2025. Published. 5th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, Metz, France.
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Article de journalDopico, F. M., Noferini, V., Quintana, M. C., & Van Dooren, P. (2024). Para-Hermitian Rational Matrices. SIAM Journal on Matrix Analysis and Applications, 45(4), 2339-2359. https://doi.org/10.1137/24M1678416 (Original work published 2024)
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Laudadio, T., Mastronardi, N., Van Assche, W., & Van Dooren, P. (2024). A Matlab package computing simultaneous Gaussian quadrature rules for multiple orthogonal polynomials. Journal of Computational and Applied Mathematics, 451, 116109. https://doi.org/10.1016/j.cam.2024.116109 (Original work published 2024)
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Laudadio, T., Mastronardi, N., & Van Dooren, P. (2024). Computational aspects of simultaneous Gaussian quadrature. Numerical Algorithms, 100(2), 621-643. https://doi.org/10.1007/s11075-024-01785-0 (Original work published 2024)
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Calbert, J., Girard, A., & Jungers, R. (2024). Classification of simulation relations for symbolic control. arXiv preprint. Published. https://doi.org/10.48550/arXiv.2410.06083 (Original work published 2024)
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Mei, W., Hendrickx, J., Chen, G., Bullo, F., & Dörfler, F. (2024). Convergence, Consensus, and Dissensus in the Weighted-Median Opinion Dynamics. IEEE Transactions on Automatic Control, 69(10), 6700-6714. https://doi.org/10.1109/tac.2024.3376752 (Original work published 2024)
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Calbert, J., Neves Egidio, L., & Jungers, R. (2024). Smart Abstraction Based on Iterative Cover and Non-Uniform Cells. IEEE Control Systems Letters, 8, 2301-2306. https://doi.org/10.1109/lcsys.2024.3409106 (Original work published 2024)
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Si, W., Absil, P.-A., Huang, W., Jiang, R., & Vary, S. (2024). A Riemannian Proximal Newton Method. SIAM Journal on Optimization, 34(1), 654-681. https://doi.org/10.1137/23m1565097 (Original work published 2023)
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de Walque, J.-M., de Terwangne, C., Jungers, R., Pierard, S., Beauloye, C., Laarbaui, F., Dechamps, M., & Jacquet, L.-M. (2024). Potential for recovery after extremely prolonged VV-ECMO support in well-selected severe COVID-19 patients: a retrospective cohort study. BMC pulmonary medicine, 24(1), 19 [1-9]. https://doi.org/10.1186/s12890-023-02836-3 (Original work published 2024)
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Bendokat, T., Zimmermann, R., & Absil, P.-A. (2024). A Grassmann manifold handbook: basic geometry and computational aspects. Advances in Computational Mathematics, 50(1). https://doi.org/10.1007/s10444-023-10090-8 (Original work published 2024)
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Banse, A., Renganathan, V., & Jungers, R. (2024). A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning. arXiv preprint. Published. https://doi.org/10.48550/arXiv.2407.08324 (Original work published 2024)
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Absil, P.-A., Cojuhari, I., Fiodorov, I., & Tits, A. L. (2024). Strong versions of impulsive controllability and sampled observability. Automatica, 169, 111865. https://doi.org/10.1016/j.automatica.2024.111865 (Original work published 2024)
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Brudermüller, L., Berger, G., Jankowski, J., Bhattacharyya, R., Jungers, R., & Hawes, N. (2024). CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning. arXiv preprint. Published. https://doi.org/10.48550/arXiv.2402.01370 (Original work published 2024)
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AliAbbasi, E., Muzammil, M., Sirin, O., Lefèvre, P., Martinsen, Ø. G., & Basdogan, C. (2024). Effect of Finger Moisture on Tactile Perception of Electroadhesion. IEEE Transactions on Haptics, 17(4), 841-849. https://doi.org/10.1109/toh.2024.3441670 (Original work published 2024)
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Berkhout, J., Heidergott, B., & Van Dooren, P. (2024). Perturbation and Inverse Problems of Stochastic Matrices. SIAM Journal on Matrix Analysis and Applications, 45(1), 553-584. https://doi.org/10.1137/22m1489162 (Original work published 2024)
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Van Dessel, G., & Glineur, F. (2024). Optimal inexactness schedules for tunable oracle-based methods. Optimization Methods and Software, 39(3), 664-698. https://doi.org/10.1080/10556788.2023.2296982 (Original work published 2024)
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Benner, P., Goyal, P., & Van Dooren, P. (2024). Parameterized Interpolation of Passive Systems. SIAM Journal on Matrix Analysis and Applications, 45(2), 1035-1053. https://doi.org/10.1137/23m1580528 (Original work published 2024)
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Goujaud, B., Moucer, C., Glineur, F., Hendrickx, J., Taylor, A. B., & Dieuleveut, A. (2024). PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. Mathematical Programming Computation, 16(3), 337-367. https://doi.org/10.1007/s12532-024-00259-7 (Original work published 2024)
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Calbert, J., Banse, A., legat benoit, & Jungers, R. (2024). Dionysos.jl: a Modular Platform for Smart Symbolic Control. JuliaCon Proceedings, 6(66), 160. https://doi.org/10.21105/jcon.00160 (Original work published 2024)
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Zamani, M., Glineur, F., & Hendrickx, J. (2024). On the Set of Possible Minimizers of a Sum of Convex Functions. IEEE Control Systems Letters, 8, 1871-1876. https://doi.org/10.1109/lcsys.2024.3414378 (Original work published 2024)
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Córdova Bulens, D., du Bois de Dunilac, S., Delhaye, B., Lefèvre, P., & Redmond, S. J. (2024). Open-source instrumented object to study dexterous object manipulation. eNeuro, 11(1), ENEURO. https://doi.org/10.1101/2023.10.20.563288 (Original work published 2024)
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Samari, B., Rossa, M. D., Lavaei, A., Soudjani, S., & Jungers, R. (2024). Multiplicative Barrier Certificates for Probabilistic Safety of Markov Jump Systems. IFAC-PapersOnLine, 58(11), 63-68. https://doi.org/10.1016/j.ifacol.2024.07.426 (Original work published 2024)
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Dopico, F. M., Marcaida, S., Quintana, M. C., & Van Dooren, P. (2024). Linearizations of matrix polynomials viewed as Rosenbrock’s system matrices. Linear Algebra and Its Applications, 693, 116-139. https://doi.org/10.1016/j.laa.2023.05.010 (Original work published 2024)
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Kalidindi, H. T., & Crevecoeur, F. (2024). Task-dependent coarticulation of movement sequences. eLife, 13. https://doi.org/10.7554/elife.96854.3 (Original work published 2024)
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Monnoyer de Galland de Carnières, C., Vizuete Haro, R. S., Hendrickx, J., Panteley, E., & Frasca, P. (2024). Random Coordinate Descent for Resource Allocation in Open Multiagent Systems. IEEE Transactions on Automatic Control, 69(11), 7600-7613. https://doi.org/10.1109/tac.2024.3394349 (Original work published 2024)
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Hoffmann, A., & Crevecoeur, F. (2024). Dissociable Effects of Urgency and Evidence Accumulation during Reaching Revealed by Dynamic Multisensory Integration. eNeuro, 11(12), ENEURO. https://doi.org/10.1523/eneuro.0262-24.2024 (Original work published 2024)
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Van Brandt, L., & Delvenne, J.-C. (2024). Predicting State Transitions in Autonomous Nonlinear Bistable Systems With Hidden Stochasticity. IEEE Control Systems Letters, 8, 850-855. https://doi.org/10.1109/lcsys.2024.3401586 (Original work published 2024)
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Papier de conférenceBousselmi, N., Pustelnik, N., Hendrickx, J., & Glineur, F. (2024). Comparison of Proximal First-Order Primal and Primal-Dual Algorithms via Performance Estimation. Eusipco 2024, p. 2647-2651. https://doi.org/10.23919/EUSIPCO63174.2024.10715388
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Jungers, R., Calbert, J., Mattenet, S., Girard, A., & et al. (2024). Memoryless concretization relation. Proceedings of the 27th ACM International Conference on Hybrid Systems: Computation and Control, 1(1), 147-155. https://doi.org/10.1145/3641513.3650132 (Original work published 2024)
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Vizuete Haro, R. S., & Hendrickx, J. (2024). Nonlinear identifiability of directed acyclic graphs with partial excitation and measurement. Proceedings of the 61th IEEE Conference on Decision and Control (CDC 2024). Published. 2024 IEEE 63rd Conference on Decision and Control (CDC), Milan, Italy. https://doi.org/10.1109/cdc56724.2024.10886435
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Van Brandt, L., Flandre, D., & Delvenne, J.-C. (2024). Stochastic Nonlinear Dynamical Modelling of SRAM Bitcells in Retention Mode. IEEE Xplore. Published. 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), Bangalore, India. https://doi.org/10.1109/edtm58488.2024.10512067
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Bianchin, G., & Delvenne, J.-C. (2024). Cycle families and Resilience of Dynamical Networks. IEEE Xplore. Published. 2024 American Control Conference (ACC), Toronto, ON, Canada. https://doi.org/10.23919/acc60939.2024.10644385
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Anand, M., Jungers, R., Zamani, M., & Allgöwer, F. (2024). Path-Complete Barrier Functions for Safety of Switched Linear Systems. Proceedings 2024 IEEE 63rd Conference on Decision and Control (CDC). Published. 2024 IEEE 63rd Conference on Decision and Control (CDC), Milan, Italy. https://doi.org/10.1109/cdc56724.2024.10886799 (Original work published 2024)
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Vernimmen, P., & Glineur, F. (2024). Convergence analysis of an inexact gradient method on smooth convex functions. ESANN 2024 proceedings. Published. ESANN 2024, European Symposium on Artificial Neural Networks, Computational Intellignece and Machine Learning, Bruges (Belgium) and online. https://doi.org/10.14428/esann/2024.es2024-171
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Vizuete Haro, R. S., Frasca, P., & Panteley, E. (2024). SIS Epidemics on Open Networks: A Replacement-Based Approximation. n/. Published. 2024 European Control Conference (ECC), Stockholm, Sweden. https://doi.org/10.48550/arXiv.2403.16727 (Original work published 2024)
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Legat, A., & Hendrickx, J. (2024). Combinatorial Characterization for Global Identifiability of Separable Networks with Partial Excitation and Measurement. 2023 62nd IEEE Conference on Decision and Control (CDC), p. 2471-2476. https://doi.org/10.1109/cdc49753.2023.10383708
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Van Brandt, L., Delvenne, J.-C., & Flandre, D. (2024). Variability-Aware Noise-Induced Dynamic Instability of Ultra-Low-Voltage SRAM Bitcells. IEEE Xplore. Published. 2024 IEEE 15th Latin America Symposium on Circuits and Systems (LASCAS), Punta del Este, Uruguay. https://doi.org/10.1109/lascas60203.2024.10506179
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Colla, S., & Hendrickx, J. (2024). On the Optimal Communication Weights in Distributed Optimization Algorithms. IFAC-PapersOnLine, 58(17), 19-24. https://doi.org/10.1016/j.ifacol.2024.10.107 (Original work published 2024)
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Chapitre de livreVizuete Haro, R. S., Monnoyer de Galland de Carnières, C., Frasca, P., Panteley, E., & Hendrickx, J. (2024). Trends and Questions in Open Multi-agent Systems. In Postoyan, Romain ; Frasca, Paolo ; Panteley, E. ; Zaccarian, Luca (eds.) (ed.), Hybrid and Networked Dynamical Systems : Lecture Notes in Control and Information Sciences (p. p. 219-252). Springer, Cham. https://doi.org/10.1007/978-3-031-49555-7_10
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