Optimal Model Order Reduction Based on Hybridization of Adaptive Safe Experimentation Dynamics-Nonlinear Sine Cosine Algorithm-Reference-Cited by-同舟云学术

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Optimal Model Order Reduction Based on Hybridization of Adaptive Safe Experimentation Dynamics-Nonlinear Sine Cosine Algorithm

Published:2023-07-27 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on System Science and Engineering (ICSSE)
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Author:

Suid Mohd Helmi¹,Ahmad Mohd Ashraf¹,Ahmad Salmiah²,Ghazali Mohd Riduwan¹,Tumari Zaidi Mohd³

Affiliation:

1. Universiti Malaysia Pahang Al-Sultan Abdullah,Faculty of Electrical and Electronics Engineering Technology,Pekan,Malaysia

2. International Islamic University Malaysia,Kuliyyah of Engineering,Gombak,Malaysia

3. Universiti Teknikal Malaysia Melaka,Faculty of Electrical & Electronics Engineering Technology,Ayer Keroh,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10227140/10227074/10227161.pdf?arnumber=10227161

Reference13 articles.

1. Evolutionary approach for model order reduction

2. Grasshopper optimization algorithm scaled fractional order PI-D controller applied to reduced order model of load frequency control system

3. Optimal tuning of sigmoid PID controller using Nonlinear Sine Cosine Algorithm for the Automatic Voltage Regulator system;suid;ISA Trans,2021

4. Sine cosine algorithm based reduction of higher order continuous systems

5. Model reduction by extended minimal degree optimal Hankel norm approximation

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