Higher order reduction of uncertain systems: Affine Arithmetic

Authors

  • H Mallesam dora Research Scholar, Department of Electrical, Andhra University, Visakhapatnam, Andhra Pradesh, India
  • Dr T Narasimhulu Assistant Professor, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, Andhra Pradesh, India.
  • Prof. P Mallikarjunarao Professor, Department of Electrical, Andhra University, Visakhapatnam, Andhra Pradesh, India

Keywords:

Continuous, Discrete & MIMO Uncertain Systems. Modified Routh Approximation Method; Affine Arithmetic

Abstract

In this paper the Modified Routh Approximation (MRA) and Affine Arithmetic (AA) methods are investigates for obtaining the reduced order model (ROM) of SISO, discrete & MIMO uncertain systems into lower order system. Rigorous study and analysis of physical system direct to the outcome of systems with uncertainty instead of certain coefficients. Thus, systems having uncertain but bounded parameters known as uncertain systems are under consideration in this paper. An effective algorithm to determine the reduced order model is proposed here. This proposed methodology is verified using numerical examples available from the literature.

How to cite this article:
Dora HM, Narasimhulu T, Mallikarjunarao P. Higher Order Reduction of Uncertain Systems: Affine Arithmeti. J Adv Res Power Electro Power Sys 2021; 8(1&2): 1-4.

DOI: https://doi.org/10.24321/2456.1401.202101

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Published

2021-05-20

Issue

Vol. 8 No. 1 & 2 (2021): Journal of Advanced Research in Power Electronics & Power Systems ISSN 2456-1401

Section

Articles