Modelling the Periodic Response of Micro-Electromechanical Systems through Deep Learning-Based Approaches
Author:
Affiliation:
1. Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
2. MOX — Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
Abstract
Funder
Research Center on “Sensor sysTEms with Advanced Materials” (STEAM)—Politecnico di Milano
STMicroelectronics S.r.l.
NextGenerationEU program within the PNRR-PE-AI scheme
Publisher
MDPI AG
Subject
Control and Optimization,Control and Systems Engineering
Link
https://www.mdpi.com/2076-0825/12/7/278/pdf
Reference51 articles.
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3. The method of proper orthogonal decomposition for dynamical characterization and order reduction of mechanical systems: An overview;Kerschen;Nonlinear Dyn.,2005
4. Reduced-order models for nonlinear vibrations of fluid-filled circular cylindrical shells: Comparison of POD and asymptotic nonlinear normal modes methods;Amabili;J. Fluids Struct.,2007
5. Reduced-order models for nonlinear vibrations of cylindrical shells via the proper orthogonal decomposition method;Amabili;J. Fluids Struct.,2003
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