Model reduction for two-dimensional systems with generalized H∞ approximation performance

2014 ◽  
Author(s):  
Xianwei Li ◽  
James Lam ◽  
Kie Chung Cheung
Keyword(s):  
Model Reduction ◽  
Two Dimensional

Model reduction of Takagi-Sugeno fuzzy two-dimensional systems: FM LSS model case

2021 ◽  
Author(s):  
Abderrahim El-Amrani ◽  
Rachid Naoual ◽  
Khaddouj Ben Meziane ◽  
Ismail Boumhidi
Keyword(s):  
Model Reduction ◽  
Two Dimensional ◽  
Model Case ◽  
Takagi Sugeno

Model reduction for two-dimensional systems

2003 ◽  
Author(s):  
M.R. Azimi-Sadjadi ◽  
K. Khorasani
Keyword(s):  
Model Reduction ◽  
Two Dimensional

scholarly journals Model reduction and stability of two-dimensional recursive systems

1991 ◽  
Vol 21 (1) ◽  
pp. 187-208
Author(s):  
Annie Cuyt ◽  
William B. Jones ◽  
Brigitte Verdonk
Keyword(s):  
Model Reduction ◽  
Two Dimensional ◽  
Recursive Systems

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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