A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction

Mohd Helmi, Suid and Mohd Ashraf, Ahmad (2023) A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction. Automatika, 64 (1). pp. 34-50. ISSN 0005-1144. (Published)

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Abstract

The current study introduces the hybridization of the Nonlinear Sine Cosine Algorithm (NSCA) and Safe Experimentation Dynamics (SED) as a novel optimization method for model order reduction of high-order single-input single-output (SISO) systems. Reciprocated synergism between both meta-heuristic algorithms is achieved by appropriating the nonlinear position-updated mechanism of NSCA for enhanced exploration/exploitation competencies and proficiency of SED in maximizing stagnation avoidance within the local optima. Named the NSCA-SED algorithm, the applicability of the proposed method is assessed by scholastic adoption of a sixth-order numerical transfer function towards two independent high-order systems enclosing Double-Pendulum Overhead Crane and Flexible Manipulator. Experimentation results further suggested NSCA-SED as the superior alternative in terms of execution robustness and consistency excellence against other available optimization-based methods for tackling model order reduction. Exemplified simulations sequentially demonstrated considerable improvements by the employment of NSCA-SED over conventional SCA following respective enhanced proportions of 97.17%, 13.17% and 29.03% for Example 1, Example 2 and Example 3.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Meta-heuristics optimization; Model order reduction (MOR); Nonlinear Sine Cosine Algorithm (NSCA); Safe Experimentation Dynamics (SED); Single-input single-output (SISO)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Dr Mohd Ashraf Ahmad
Date Deposited: 09 Aug 2023 08:16
Last Modified: 09 Aug 2023 08:16
URI: http://umpir.ump.edu.my/id/eprint/38259
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