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Performance Analysis and Comparison of Reduced Order Systems using Chebyshev polynomial, Improved Pole Clustering and Fuzzy C-means Clustering Techniques

Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 5)

Publication Date:

Authors : ;

Page : 2219-2222

Keywords : Model order reduction; Chebyshev polynomial; Modified Pole Clustering; Fuzzy C-means Clustering techniques; Integral square error;

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Abstract

A mixed method for model order reduction of a linar, single input-single output system is presented. The denominator of the original system is reduceed by using modified pole clustering techniques and fuzzy C-means clustering algorithm. The Chebyshev polynomial has been used for reducing the numerator of higher order transfer function. Then the result has been compared for both the reduction techniques

Last modified: 2021-06-30 18:55:25