Improved Sliding Mode Control for Finite-Time Synchronization of Nonidentical Delayed Recurrent Neural Networks

This brief further explores the problem of finite-time synchronization of delayed recurrent neural networks with the mismatched parameters and neuron activation functions. An improved sliding mode control approach is presented for addressing the finite-time synchronization problem. First, by employi...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2020-06, Vol.31 (6), p.2209-2216
Hauptverfasser:	Xiong, Jing-Jing, Zhang, Guo-Bao, Wang, Jun-Xiao, Yan, Tian-Hong
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological neural networks Control stability Control systems design Delayed neural networks Delays finite-time synchronization Integrals Learning systems Linear matrix inequalities Lyapunov stability theory Neural networks Neurons Recurrent neural networks Sliding mode control sliding mode control (SMC) Synchronization Time synchronization
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!