A Hybrid Approach for Simplification Using Logarithmic Clustering and Moments Matching

A simplification method is suggested in this paper to simplify a large-scale dynamic system using logarithmic pole clustering and moments matching using Pade approximations. The denominator polynomial of the simplified model is computed by using logarithmic pole clustering while the numerator coeffi...

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Vydáno v:International journal of social ecology and sustainable development Ročník 13; číslo 2; s. 1 - 15
Hlavní autoři: Vishwakarma, C B, Sharma, Namrta
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hershey IGI Global 13.07.2022
Témata:
Analysis
Clustering
Dynamical systems
Logarithms
Matching
Mathematical optimization
Polynomials
Simplification
Technology application
India
ISSN:1947-8402, 1947-8410
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Popis
Shrnutí:A simplification method is suggested in this paper to simplify a large-scale dynamic system using logarithmic pole clustering and moments matching using Pade approximations. The denominator polynomial of the simplified model is computed by using logarithmic pole clustering while the numerator coefficients of the same model are determined by matching the time-moments of the original large-scale system. The viability of the proposed method has been tested on few large-scale systems taken from the literature.
Bibliografie:ObjectType-Article-1
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ISSN:1947-8402
1947-8410
DOI:10.4018/IJSESD.302467