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

Maneesh Kumar Gupta

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

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