Stability conditions concerning neutral-type BAM neural networks with infinite distributed delay

Abstract

This paper presents a class model for neutral-type bidirectional associative memory (BAM) neural networks (NNS) with infinite distributed delay. The model extends and improves some recent works for BAM-NNS. Based on the Lyapunov–Krasovskii functional (LKF) theory, the linear matrix inequality (LMI) method and some analysis techniques, the novel stability criteria for such model are obtained. Four numerical examples prove the validity and less conservativeness of the proposed criteria. The developed results are helpful to design of an actual system.

KEYWORDS:

• Global stability
• neutral-type
• Lyapunov functional method
• BAM neural networks
• infinite distributed delays

2020 AMS SUBJECT CLASSIFICATIONS:

• 68T07
• 34D23

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was funded by the Education Department of Jiangxi Province (GJJ170484), the Doctoral Scientific Research Foundation of East China University of Technology (No. DHBK2012201), and the National Natural Science Foundation of China (Nos. 61663001, 11565002).