Journal
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
Volume 98, Issue 3, Pages 502-516Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207160.2020.1759043
Keywords
Global stability; neutral-type; Lyapunov functional method; BAM neural networks; infinite distributed delays
Categories
Funding
- Education Department of Jiangxi Province [GJJ170484]
- Doctoral Scientific Research Foundation of East China University of Technology [DHBK2012201]
- National Natural Science Foundation of China [61663001, 11565002]
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This paper introduces a new class model for neutral-type BAM-NNS with infinite distributed delay, and provides stability criteria based on LKF theory and LMI method. Numerical examples support the validity and less conservativeness of the proposed criteria, which are beneficial for actual system design.
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.
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