Performance Comparison of Different Type of Reduced Order Modeling Methods

Author

Lodhwal, P.K. ; Jha, Sumit Kumar

Author_Institution

Div. of Instrum. & Control Eng., Univ. Of Delhi, New Delhi, India

fYear

2013

fDate

6-7 April 2013

Firstpage

95

Lastpage

100

Abstract

Three techniques for constructing reduced order models are presented and compared. The techniques are based on: 1) Model Reduction Using the Routh Stability Criterion by V. Krishnamurthy and V. Seshadri, 2) Higher Order Reduction by Coefficient Comparison by T. Manigandan and N. Devarajan 3) Clustering method for reducing order of linear system using Pade approximation by C.B. Vishwakarma and R. Prasad. In this paper, we have compared the reduced transfer functions obtained from all the three methods and thereafter computed the Relative Integral Square Error (RISE) for different numerical examples by using the above mentioned methods.

Keywords

approximation theory; pattern clustering; reduced order systems; stability criteria; transfer functions; Pade approximation; RISE; clustering method; coefficient comparison; higher order reduction; linear system reducing order; model reduction; numerical examples; reduced order modeling methods; reduced transfer functions; relative integral square error; routh stability criterion; Approximation methods; Mathematical model; Polynomials; Reduced order systems; Stability criteria; Clustering method; Order Reduction; Pade approximation; Routh Stability Criterion; Transfer Function;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computing and Communication Technologies (ACCT), 2013 Third International Conference on

Conference_Location

Rohtak

ISSN

2327-0632

Print_ISBN

978-1-4673-5965-8

Type

conf

DOI

10.1109/ACCT.2013.25

Filename

6524281