Chemo-inspired Genetic Algorithm and Application to Model Order Reduction Problem

2016 ◽  
pp. 31-41 ◽  
Author(s):  
Rajashree Mishra ◽  
Kedar Nath Das
Keyword(s):  
Genetic Algorithm ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Model Order ◽  
Reduction Problem

The Combined Methodology for Reducing the High Model Order for a Continuous System Using Genetic Algorithm and Dominant Poles Methods

2018 ◽  
Vol 9 (06) ◽  
pp. 20447-20458
Author(s):  
Mohammad A. ALMa’aitah ◽  
Mohammed Al-Hattab ◽  
Mohammed I. Abuashour ◽  
Tha’er O. Sweidan ◽  
Omar M. Abdallah
Keyword(s):  
Genetic Algorithm ◽  
Lower Order ◽  
Model Order Reduction ◽  
Transfer Functions ◽  
Order Reduction ◽  
Continuous System ◽  
Original Model ◽  
High Order ◽  
Model Order ◽  
Improving Accuracy

Model order reduction is one of the crucial topics facing researchers nowadays. Various methods were conducted for achieving this goal. In this article, genetic algorithm (GA) with dominant poles methods are used to reduce high-order transfer functions (TFs) to lower-order ones. Genetic algorithm is powerful technique used for optimization purposes. In this approach, genetic algorithm is applied to model order reduction to reduce the order of the numerator of TF whereas the dominant poles method is used to reduce the order of denominator of the TF and thus improving accuracy and preserving the same dominant poles for the reduced system as the original model which are two important issues for improving the performance of simulation and computation and maintaining the behavior of the original high order models being reduced

Genetic Algorithm–Based Robust Controller for an Inverted Pendulum Using Model Order Reduction

2020 ◽  
Vol 49 (4) ◽  
pp. 20200158
Author(s):  
V. G. Pratheep ◽  
E. B. Priyanka ◽  
S. Thangavel ◽  
K. Gomathi
Keyword(s):  
Genetic Algorithm ◽  
Model Order Reduction ◽  
Inverted Pendulum ◽  
Order Reduction ◽  
Robust Controller ◽  
Model Order
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