AN IMPROVED WIENER MODEL FOR SYSTEM IDENTIFICATION

Yıl 2020, , 796 - 810, 07.08.2020

Selçuk Mete , Hasan Zorlu , Şaban Özer

https://doi.org/10.28948/ngumuh.553279

Öz

Wiener block structure is formed by cascade
of linear and nonlinear models. A novel and improved Wiener model structure for system identification area is proposed in this study. In proposed Wiener model, Finite Impulse Response
(FIR) model is used as linear part and Soft Switching based Hybrid (SSH) model
is used as nonlinear part. The SSH structure consists of a Second Order Volterra (SOV)
nonlinear model, a Memoryless Polynomial (MP) nonlinear model, and a
soft-switching part through a Neuro-Fuzzy (NF) network. In simulation studies, different types systems are identified by
presented novel model. In addition to the mentioned identified systems, the
performance of the improved model is also compared with Volterra model and
Wiener models presented in the literature. Simulation results find out
the success of the proposed model.

Anahtar Kelimeler

system identification, wiener, hybrid model, optimization

SİSTEM KİMLİKLENDİRME İÇİN GELİŞTİRİLMİŞ BİR WIENER MODEL

Öz

Wiener blok yapısı doğrusal ve doğrusal olmayan modellerin kaskad
bağlanması ile oluşturulmaktadır. Bu çalışmada sistem kimliklendirme alanı için
yeni ve geliştirilmiş bir Wiener model yapısı sunulmuştur. Önerilen yapıda,
doğrusal kısım olarak Sonlu Darbe Cevaplı model, doğrusal olmayan kısım olarak
Esnek Anahtarlama Temelli Hibrit (EATH) model kullanılmıştır. EATH yapısı,
doğrusal olmayan ikinci derece bir Volterra model, doğrusal olmayan hafızasız
bir polinom model ve bir bulanık sinir ağı temelli esnek anahtarlama
mekanizmasından oluşmaktadır. Simülasyonlarda, önerilen model ile dört farklı
sistem tipi kimliklendirilmiştir. İlave olarak, bu sistemleri kimliklendirmek
için literatürde yeralan Volterra ve Wiener modellerde ayrıca kullanılarak
önerilen modelin performansı ile karşılaştırılmıştır. Simülasyon sonuçları,
önerilen modelin başarısını ortaya koymaktadır.

Anahtar Kelimeler

sistem kimliklendirme, wiener, hibrit model, optimizasyon

Kaynakça

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