Application of Slime Mould Algorithm to Infinite Impulse Response System Identification Problem

Author:

İZCİ Davut1,EKİNCİ Serdar1,GÜLEYDİN Murat1

Affiliation:

1. BATMAN UNIVERSITY

Abstract

Recently, the researchers working in the field of science and engineering have paid a considerable attention to the concept of the system identification to tackle with complex optimization problems. It is feasible to achieve more accurate models of physical plants with the infinite impulse response (IIR) models compared to their finite counterparts (FIR). To get the most out of the IIR models for the system identification, metaheuristic optimization algorithms can be used as efficient solutions. This work, therefore, aims to demonstrate more promising performance of a new metaheuristic algorithm named slime mould algorithm. In this regard, a comparative assessment is performed using different metaheuristic optimization techniques and different IIR model identification problems are considered. The slime mould algorithm is shown to achieve better accuracy and robustness in terms of IIR model identification with the help of obtained statistical results.

Publisher

Anatolian Science - Bilgisayar Bilimleri Dergisi

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An atom search optimization approach for IIR system identification;International Journal of Modelling and Simulation;2023-11-27

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