Ortalama farksal gelişim algoritması ile bilineer sistem kimliklendirme

Burhanettin Durmuş

Öz


Bu çalışmada, bilineer sistem kimliklendirme problemi için ortalama farksal gelişim (average differential evolution-ADE) algoritması önerilmiştir.  Doğrusal olmayan sisteme ait parametrelerin ADE tabanlı bilineer model üzerinden kestirimi gerçekleştirilmiştir. Bilinmeyen sistem çıkışı ile bilineer model çıkışı arasındaki Ortalama Karesel Hata (Mean Square Error, MSE) performans ölçütü olarak kullanılmıştır.  Önerilen algoritmanın performansı, hem farklı sezgisel algoritmaların kullanıldığı benzetim çalışmaları ile hem de literatürde rapor edilmiş diğer metotlar ile karşılaştırılmıştır.  Karşılaştırmalı sonuçlarda, ADE tabanlı modelleme ile hata değerlerinin azaldığı ve hesaplanan parametre değerlerinin doğruluk oranının arttığı görülmüştür.  Hızlı bir yakınsama ile global çözüme ulaşma kabiliyetine sahip olan ADE algoritması, parametre kestirimi uygulamaları için etkin bir araç olarak kullanılabilir.

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