Yayın: A novel condition for robust stability of delayed neural networks
Tarih
Kurum Yazarları
Özcan, Neyir
Yazarlar
Yücel, Eylem
Arık, Sabri
Danışman
Dil
Türü
Yayıncı:
Springer
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Özet
This paper presents a novel sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for the class of delayed neural networks by using the Homomorphic mapping and the Lyapunov stability theorems. An important feature of the obtained result is its low computational complexity as the reported result can be verified by checking some well-known properties of some certain classes of matrices, which simplify the verification of the derived result.
Açıklama
Bu çalışma, 9-12 Kasım 2015 tarihleri arasında İstanbul[Türkiye]'da düzenlenen 22. International Conference on Neural Information Processing (ICONIP)'de bildiri olarak sunulmuştur.
Kaynak:
Anahtar Kelimeler:
Konusu
Computer science, Lyapunov functional, Neural networks, Stability analysis, Asymptotic stability, Information science, Lyapunov functions, Robustness (control systems), Stability, Delayed neural networks, Equilibrium point, Global robust asymptotic stabilities, Important features, Low computational complexity, Lyapunov functionals, Lyapunov stability theorem, Complex networks
Alıntı
Neyir, Ö. vd. (2015). "A novel condition for robust stability of delayed neural networks". Neural Information Processing, PT III, Lecture Notes in Computer Science, 273-280.