MODEL ORDER REDUCTION USING CHEBYSHEV POLYNOMIAL, STABILITY EQUATION METHOD AND FUZZY C-MEANS CLUSTERING

2016 ◽  
Vol 4 (2) ◽  
pp. 7 ◽  
Author(s):  
GUPTA MANEESH KUMAR ◽  
KUMAR AWADHESH ◽  
◽  
Keyword(s):  
Chebyshev Polynomial ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Equation Method ◽  
Polynomial Stability ◽  
Stability Equation ◽  
Model Order ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering

Model order reduction using Fuzzy C-Means clustering

2014 ◽  
Vol 36 (8) ◽  
pp. 992-998 ◽  
Author(s):  
Anirudha Narain ◽  
Dinesh Chandra ◽  
Ravindra K Singh
Keyword(s):  
Model Order Reduction ◽  
Order Reduction ◽  
Model Order ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering

scholarly journals A Novel Mixed Method Using MM-SE with Change in Routhain Array for Model Order Reduction

2021 ◽  
Author(s):  
Aswant Kumar Sharma ◽  
Dhanesh Kumar Sambariya
Keyword(s):  
Mixed Method ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Step Response ◽  
System Modelling ◽  
Stability Equation ◽  
Model Order ◽  
Reduced Order ◽  
Response Characteristics ◽  
Higher Order Differential Equations

Abstract The system modelling leads towards the higher-order differential equations. These systems are difficult to analyse. Therefore, for ease and understanding, the conversion of higher to lower order is required. The model order reduction(MOR) is a systematic procedure to tackle these kinds of situations. This paper offers a mixed method for MOR using the modified moment matching (MM) and stability equation (SE). The modification is applied in the routhain array of MM. The approach has been verified by examining the error between the original, proposed and compared with reduced order available in the literature. The obtained result has been compared on the basis of step response characteristics and the response indices error.

THE NEW ALGORITHM OF SOLVING HARMONIC BALANCE EQUATIONS

2019 ◽  
Author(s):  
Vladimir Lantsov ◽  
A. Papulina
Keyword(s):  
Harmonic Balance ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Balance Equations ◽  
Model Order ◽  
Cad Systems ◽  
Computational Costs ◽  
Reduction Methods ◽  
Model Equations

The new algorithm of solving harmonic balance equations which used in electronic CAD systems is presented. The new algorithm is based on implementation to harmonic balance equations the ideas of model order reduction methods. This algorithm allows significantly reduce the size of memory for storing of model equations and reduce of computational costs.

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