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New Insights on Bidirectional Associative Memory Neural Networks with Leakage Delay Components and Time-Varying Delays Using Sampled-Data Control.
New Insights on Bidirectional Associative Memory Neural Networks with Leakage Delay Components and Time-Varying Delays Using Sampled-Data Control.
- Source :
- Neural Processing Letters; Apr2024, Vol. 56 Issue 2, p1-21, 21p
- Publication Year :
- 2024
-
Abstract
- The sampling data control of bidirectional associative memory (BAM) neural network with leakage delay is considered in this article. The BAM model is viewed as a mixed delay that combines a distributed delay, a discrete delay that varies over time, and a delay in the leaking period. The sampling system is then converted to a continuous time-delay system using an input delay method. In order to get adequate conditions in the form of linear matrix inequalities(LMIs), we build a new Lyapunov-Krasovskii Functional (LKF) in conjunction with the free weight matrix approach. Finally, a simulation results are given to show the efficiency of the theoretical approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13704621
- Volume :
- 56
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Neural Processing Letters
- Publication Type :
- Academic Journal
- Accession number :
- 175928437
- Full Text :
- https://doi.org/10.1007/s11063-024-11499-y