Model Order Reduction using Chebyshev Polynomial, Stability Equation Method and Fuzzy C-means Clustering

Maneesh Kumar Gupta*, Awadhesh Kumar**
* PG Scholar, Department of Electrical Engineering, Madan Mohan Malviya University of Technology, Gorakhpur, Uttar Pradesh, India.
** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malviya University of Technology, Gorakhpur, Uttar Pradesh, India.
Periodicity:February - April'2016
DOI : https://doi.org/10.26634/jic.4.2.4877

Abstract

In this paper, the authors have presented a mixed method for Model Order Reduction (MOR) of a continuous approach for Single Input Single Output (SISO) system. The numerator of higher order transfer function of the model reduces by Chebyshev polynomial technique and the denominator reduces by two different methods. The Fuzzy C-Means Clustering method is used for reducing the denominator and the Stability equation technique is also used for reducing the denominator. The results are then compared for both the techniques.

Keywords

Model Order Reduction, Chebyshev Polynomial, Fuzzy C-means Clustering Techniques, Integral Square Error.

How to Cite this Article?

Gupta, M.K., and Kumar, A. (2016). Model Order Reduction using Chebyshev Polynomial, Stability Equation Method and Fuzzy C-means Clustering. i-manager’s Journal on Instrumentation and Control Engineering, 4(21), 7-13. https://doi.org/10.26634/jic.4.2.4877

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