[PDF][PDF] Order reduction using modified pole clustering and Pade approximations
CB Vishwakarma - International Journal of Electrical and Computer …, 2011 - academia.edu
International Journal of Electrical and Computer Engineering, 2011•academia.edu
The authors present a mixed method for reducing the order of the large-scale dynamic
systems. In this method, the denominator polynomial of the reduced order model is obtained
by using the modified pole clustering technique while the coefficients of the numerator are
obtained by Pade approximations. This method is conceptually simple and always
generates stable reduced models if the original high-order system is stable. The proposed
method is illustrated with the help of the numerical examples taken from the literature.
systems. In this method, the denominator polynomial of the reduced order model is obtained
by using the modified pole clustering technique while the coefficients of the numerator are
obtained by Pade approximations. This method is conceptually simple and always
generates stable reduced models if the original high-order system is stable. The proposed
method is illustrated with the help of the numerical examples taken from the literature.
Abstract
The authors present a mixed method for reducing the order of the large-scale dynamic systems. In this method, the denominator polynomial of the reduced order model is obtained by using the modified pole clustering technique while the coefficients of the numerator are obtained by Pade approximations. This method is conceptually simple and always generates stable reduced models if the original high-order system is stable. The proposed method is illustrated with the help of the numerical examples taken from the literature.
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