Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)

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A Novel Model Reduction Approach for Linear Time-Invariant Systems via Whale Optimization Algorithm

Authors
V. Nagababu1, *, D. Vijay Arun1, M. Siva Kumar1, B. Dasu1, R. Srinivasa Rao2
1Department of EEE, Seshadri Rao Gudlavalleru Engineering College, JNTUK, Gudlavalleru, A.P., India
2JNTUK, Kakinada, A.P., India
*Corresponding author. Email: nagababu243@gmail.com
Corresponding Author
V. Nagababu
Available Online 5 December 2022.
DOI
10.2991/978-94-6463-074-9_19How to use a DOI?
Keywords
Whale optimization algorithm; Model order reduction; integral squared error; single-input single-output systems
Abstract

For the determination of accurate and stable decreasing-order model, Heuristic search method is used. Whale optimization algorithm is used to optimize stable higher order systems. By lowering the objective function (E) value, this approach builds the best reduced-order model. The First function determines measure of integral squared error between the original HOS step response and the decreasing-order model. The second term in the objective function assesses the reduced-order model’s ability to retain the original system’s full impulse response energy. By reducing objective function ‘E’, the suggested method ensures that the original system’s correctness, stability, and passivity are preserved in the decreasing-order model. The method’s validity is verified using eighth-order and ninth-order SISO systems. The results of integral squared error show that the suggested technique is superior to the existing decreasing methods that have been existing in literature.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
5 December 2022
ISBN
10.2991/978-94-6463-074-9_19
ISSN
2589-4919
DOI
10.2991/978-94-6463-074-9_19How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - V. Nagababu
AU  - D. Vijay Arun
AU  - M. Siva Kumar
AU  - B. Dasu
AU  - R. Srinivasa Rao
PY  - 2022
DA  - 2022/12/05
TI  - A Novel Model Reduction Approach for Linear Time-Invariant Systems via Whale Optimization Algorithm
BT  - Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
PB  - Atlantis Press
SP  - 218
EP  - 226
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-074-9_19
DO  - 10.2991/978-94-6463-074-9_19
ID  - Nagababu2022
ER  -