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Research Paper | Electrical Engineering | India | Volume 6 Issue 5, May 2017 | Rating: 6.6 / 10
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
Edition: Volume 6 Issue 5, May 2017,
Pages: 2219 - 2222