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Model Order Reduction Using Grey Wolf Optimization and Pade Approximation

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Proceedings of International Conference on Scientific and Natural Computing

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

A combination of two methods is recommended for determining the steady reduced-order model of SISO large-scale system using Pade approximation and Grey wolf optimization technique. The Grey wolf optimization technique is used for finding the coefficients of denominator polynomial and the coefficients of numerator polynomial are determined by Pade approximation technique. This hybrid method assures the stability of ROM when the stable higher-order system is considered. The procedure of the recommended method is depicted with the aid of cases from the research.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Gautam Buddha University, Greater Noida, 201312, UP, India

    Pranay Bhadauria & Nidhi Singh

Authors
  1. Pranay Bhadauria
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  2. Nidhi Singh
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Corresponding author

Correspondence to Pranay Bhadauria .

Editor information

Editors and Affiliations

  1. Department of Applied Mathematics, Gautam Buddha University, Greater Noida, India

    Dipti Singh

  2. Head, Department of Applied Mathematics, Gautam Buddha University, Greater Noida, India

    Amit K. Awasthi

  3. Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, Ostrava, Czech Republic

    Ivan Zelinka

  4. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

    Kusum Deep

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Bhadauria, P., Singh, N. (2021). Model Order Reduction Using Grey Wolf Optimization and Pade Approximation. In: Singh, D., Awasthi, A.K., Zelinka, I., Deep, K. (eds) Proceedings of International Conference on Scientific and Natural Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-1528-3_5

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