PROPER ORTHOGONAL DECOMPOSITION AND ITS APPLICATIONS – PART II: MODEL REDUCTION FOR MEMS DYNAMICAL ANALYSIS

By Y. C. Liang, W. Z. Lin, H. Lee, S. Lim, K. H. Lee, H. Sun. 2002

134 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Civil and Structural Engineering, Media Technology

View Paper: https://www.semanticscholar.org/paper/925ace4a3b4c0ea096e659dc7a17138b84d47934

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

1. Mohammad Ibrahim Younis
2. Eihab M. Abdel-Rahman
3. Ali H. Nayfeh
4. Romesh C. Batra
5. Maurizio Porfiri
6. Davide Spinello
7. Lawrence A. Bergman
8. Gaetan Kerschen

In Civil and Structural Engineering

1. Gaetan Kerschen
2. Jean-Claude Golinval
3. Lawrence A. Bergman
4. Alexander F. Vakakis
5. Ali H. Nayfeh
6. Oleg V. Gendelman
7. Ludovic Renson
8. T. Detroux

Citations in the corpus

• Reduced-Order Models for MEMS Applications (2005, methodology): “Hebbian algorithm to perform PCA on a noise-free [26] and a noisy [ 23 ] time series from a finitedifference solution of the PDEs describing the microbeam motion and its interaction with the air underneath it. The snapshots were obtained from the device response to two step voltages larger than the ”
• The Method of Proper Orthogonal Decomposition for Dynamical Characterization and Order Reduction of Mechanical Systems: An Overview (2005, background): “The POD now enjoys various applications in structural dynamics such as active control [28], aeroelastic problems [29, 30], damage detection [31–33], dynamic characterization [34–41], finite element model updating [42, 43], modal analysis [44, 45], multibody systems [46], model order reduction [47–52”