Skip to main content


Weitere Artikel dieser Ausgabe durch Wischen aufrufen

27.08.2018 | Ausgabe 2/2019 Open Access

Neural Processing Letters 2/2019

Stability of Inertial Neural Network with Time-Varying Delays Via Sampled-Data Control

Neural Processing Letters > Ausgabe 2/2019
Jingfeng Wang, Lixin Tian
Wichtige Hinweise

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.


In this paper, the stability problem is studied for inertial neural network with time-varying delays. The sampled-data control method is employed for the system design. First, by choosing a proper variable substitution, the original system is transformed into first-order differential equations. Then, an input delay approach is applied to deal with the stability of sampling system. Based on the Lyapunov function method, several sufficient conditions are derived to guarantee the global stability of the equilibrium. Furthermore, when employing an error-feedback control term to the slave neural network, parallel criteria regarding to the synchronization of the master neural network are also generated. Finally, some examples are given to illustrate the theoretical results.

Unsere Produktempfehlungen

Premium-Abo der Gesellschaft für Informatik

Sie erhalten uneingeschränkten Vollzugriff auf alle acht Fachgebiete von Springer Professional und damit auf über 45.000 Fachbücher und ca. 300 Fachzeitschriften.

Über diesen Artikel

Weitere Artikel der Ausgabe 2/2019

Neural Processing Letters 2/2019 Zur Ausgabe