scholarly journals Multi-frequency model reduction for uncertainty quantification in computational vibroacoutics

2022 ◽  
Author(s):  
J. Reyes ◽  
C. Desceliers ◽  
C. Soize ◽  
L. Gagliardini
Keyword(s):  
Uncertainty Quantification ◽  
Model Reduction ◽  
Frequency Model

Multi-Frequency Model Reduction for Uncertainty Quantification in Computational Vibroacoustics of Automobiles

2020 ◽  
Author(s):  
Justin Reyes ◽  
Laurent Gagliardini ◽  
Christophe Desceliers ◽  
Christian Soize
Keyword(s):  
Uncertainty Quantification ◽  
Model Reduction ◽  
Frequency Model

Finite-frequency model reduction of discrete-time T–S fuzzy state-delay systems

2016 ◽  
Vol 203 ◽  
pp. 121-128 ◽  
Author(s):  
Da-Wei Ding ◽  
Xiangpeng Xie ◽  
Xin Du ◽  
Xiao-Jian Li
Keyword(s):  
Model Reduction ◽  
Discrete Time ◽  
Delay Systems ◽  
Finite Frequency ◽  
Frequency Model ◽  
State Delay ◽  
Fuzzy State

Finite-Frequency Model Reduction of Takagi–Sugeno Fuzzy Systems

2016 ◽  
Vol 24 (6) ◽  
pp. 1464-1474 ◽  
Author(s):  
Da-Wei Ding ◽  
Xiao-Jian Li ◽  
Xin Du ◽  
Xiangpeng Xie
Keyword(s):  
Model Reduction ◽  
Fuzzy Systems ◽  
Finite Frequency ◽  
Frequency Model ◽  
Takagi Sugeno

scholarly journals Finite frequency model reduction for 2-D fuzzy systems in FM model

2021 ◽  
Vol 297 ◽  
pp. 01035
Author(s):  
Rachid Naoual ◽  
Abderrahim El-Amrani ◽  
Ismail Boumhidi
Keyword(s):  
Model Reduction ◽  
State Space ◽  
Linear Matrix Inequalities ◽  
Fuzzy Systems ◽  
Linear Matrix ◽  
Two Dimensional ◽  
Matrix Inequalities ◽  
Finite Frequency ◽  
Frequency Model ◽  
Takagi Sugeno

This paper deals with the problem of H∞ model reduction for two-dimensional (2D) discrete Takagi-Sugeno (T-S) fuzzy systems described by Fornasini-Marchesini local state-space (FM LSS) models, over finite frequency (FF) domain. New design conditions guaranteeing the FF H∞ model reduction are established in terms of Linear Matrix Inequalities (LMIs). To highlight the effectiveness of the proposed H∞ model reduction design, a numerical example is given.

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