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Affichage des résultats 1 à 10 sur 154 au total
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Data assimilation from hybrid twins for the practical real-time monitoring of complex engineering systems (semi-plenary lecture)
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Data-driven MPC for real-time control of nonlinear systems
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Model parameter identification and damage detection using a modified dual Kalman filter with optical fiber sensor data
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Integrated Structural Health Monitoring with real-time data assimilation and hybrid twins of dynamical systems (semi-plenary lecture)
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Unsupervised learning of constitutive model with neural networks and sparse identification of internal variables
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Model and mesh selection from a mCRE functional in the context of parameter identification with full-field measurements
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Data-driven material modeling based on the Constitutive Relation Error
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Model verification, updating, and selection from the constitutive relation error concept
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Training an AI hyperelastic constitutive model with experimental data
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Use of the modified constitutive relation error to learn constitutive relations
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Le LMPS utilise RoboDK pour la simulation et la programmation hors-ligne des robots industriels (https://robodk.com/fr/).