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: 2017-05-05
Authors : Maneesh Kumar Gupta;
Page : 2219-2222
Keywords : Model order reduction; Chebyshev polynomial; Modified Pole Clustering; Fuzzy C-means Clustering techniques; Integral square error;
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
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