Performance Analysis and Comparison of Reduced Order Systems using Chebyshev polynomial, Improved Pole Clustering and Fuzzy C-means Clustering Techniques
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
How to Cite?: Maneesh Kumar Gupta, "Performance Analysis and Comparison of Reduced Order Systems using Chebyshev polynomial, Improved Pole Clustering and Fuzzy C-means Clustering Techniques", Volume 6 Issue 5, May 2017, International Journal of Science and Research (IJSR), Pages: 2219-2222, https://www.ijsr.net/getabstract.php?paperid=ART20173706, DOI: https://dx.doi.org/10.21275/ART20173706