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Ana Larrañaga

3 papers indexed

arxivcs.LG2026-07-16

An Introduction to Sparse Identification of Nonlinear Dynamics for Engineering Applications

Yao Cheng Li, Ana Larrañaga, Steven L. Brunton, Urban Fasel

Many engineering problems involve phenomena whose governing equations are poorly characterized or only partially known. Surrogate modeling techniques such as neural networks can capture the behavior of these systems, but they typically demand large training datasets that are diff…

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arxivcs.NI2026-07-01

5G Configured Grant Scheduling for 5G-TSN Integration for the Support of Industry 4.0

Ana Larrañaga, M. Carmen Lucas-Estañ, Imanol Martinez, Javier Gozalvez

Factories are evolving towards digitalized data-based ecosystems under the paradigm of the Industry 4.0 where new industrial services allow the implementation of more robust, resilient and customized manufacturing systems. Such services (e.g., digital twins, extended reality or c…

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arxivcs.NI2026-06-30Cited by 8

Configured Grant Scheduling for the Support of TSN Traffic in 5G and Beyond Industrial Networks

M. Carmen Lucas-Estañ, Ana Larrañaga, Javier Gozalvez, Imanol Martínez

5G and beyond networks can facilitate the digital transformation of manufacturing and support more flexible and reconfigurable factories with ubiquitous mobile connectivity. This requires integrating 5G networks with industrial networks that increasingly rely on TSN (Time Sensiti…

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