Abstract and Applied Analysis

An LMI Approach for Dynamics of Switched Cellular Neural Networks with Mixed Delays

Chuangxia Huang, Hanfeng Kuang, Xiaohong Chen, and Fenghua Wen

Full-text: Open access

Abstract

This paper considers the dynamics of switched cellular neural networks (CNNs) with mixed delays. With the help of the Lyapnnov function combined with the average dwell time method and linear matrix inequalities (LMIs) technique, some novel sufficient conditions on the issue of the uniformly ultimate boundedness, the existence of an attractor, and the globally exponential stability for CNN are given. The provided conditions are expressed in terms of LMI, which can be easily checked by the effective LMI toolbox in Matlab in practice.

Article information

Source
Abstr. Appl. Anal., Volume 2013, Special Issue (2013), Article ID 870486, 8 pages.

Dates
First available in Project Euclid: 26 February 2014

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1393450047

Digital Object Identifier
doi:10.1155/2013/870486

Mathematical Reviews number (MathSciNet)
MR3045047

Zentralblatt MATH identifier
1283.34069

Citation

Huang, Chuangxia; Kuang, Hanfeng; Chen, Xiaohong; Wen, Fenghua. An LMI Approach for Dynamics of Switched Cellular Neural Networks with Mixed Delays. Abstr. Appl. Anal. 2013, Special Issue (2013), Article ID 870486, 8 pages. doi:10.1155/2013/870486. https://projecteuclid.org/euclid.aaa/1393450047


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