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- Title
Exponential dissipativity criteria for generalized BAM neural networks with variable delays.
- Authors
Saravanakumar, R.; Rajchakit, Grienggrai; Ali, M. Syed; Joo, Young Hoon
- Abstract
This article evaluates the exponential dissipativity and passivity criterions for generalized bidirectional associative memory neural networks (BAMGNNs) including interval time-varying delayed signals. Exponential dissipativity and passivity criterions are proposed by making suitable Lyapunov–Krasovskii functional and proposing a novel approach. The improved reciprocally convex combination and weighted integral inequality techniques are utilized to obtain new exponential dissipativity and passivity conditions of such delayed BAMGNNs. The feasibility of the obtained results is clearly demonstrated by numerical examples.
- Subjects
INTEGRAL inequalities; TECHNICAL specifications; EXPONENTIAL stability
- Publication
Neural Computing & Applications, 2019, Vol 31, Issue 7, p2717
- ISSN
0941-0643
- Publication type
Article
- DOI
10.1007/s00521-017-3224-0