Title :
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
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;
Conference_Titel :
Advanced Computing and Communication Technologies (ACCT), 2013 Third International Conference on
Conference_Location :
Rohtak
Print_ISBN :
978-1-4673-5965-8
DOI :
10.1109/ACCT.2013.25