H∞ Model Reduction for Two-Dimensional Discrete Systems in Finite Frequency Ranges

2018 ◽  
Author(s):  
Abderrahim El-Amrani ◽  
Ahmed El Hajjaji ◽  
Bensalem Boukili ◽  
Abdelaziz Hmamed
Keyword(s):  
Model Reduction ◽  
Discrete Systems ◽  
Two Dimensional ◽  
Finite Frequency

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.

ℋ∞ model reduction for uncertain two-dimensional discrete systems

2005 ◽  
Vol 26 (4) ◽  
pp. 199-227 ◽  
Author(s):  
Huijun Gao ◽  
James Lam ◽  
Changhong Wang ◽  
Shengyuan Xu
Keyword(s):  
Model Reduction ◽  
Discrete Systems ◽  
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
Sign in / Sign up

Export Citation Format

Share Document