Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1713669 | Nonlinear Analysis: Hybrid Systems | 2010 | 10 Pages |
Abstract
This paper is concerned with the problem of delay-range-dependent global exponential stability and decay estimation for a class of switched Hopfield neural networks (SHNNs) of neutral type. An average dwell time method is introduced into switched Hopfield neural networks. By constructing a new Lyapunov–Krasovskii functional and designing a switching law, some criteria are proposed for guaranteeing exponential stability for a given system, while the exponential decay estimation is explicitly developed for the states. A numerical example is provided to demonstrate the effectiveness of the main results.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Guangdeng Zong, Jia Liu, Yunxi Zhang, Linlin Hou,