We also give some numerical examples to show the applicability and novelty of the results, and compare the results with the corresponding robust stability results derived in the previous literature
📌 3 Key Takeaways
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Objective & Hypothesis:This paper deals with the problem of robust stability of the class of bidirectional associative memory (BAM) neural networks with multiple time delays.
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Key Findings & Data:Several new sufŞcient conditions that imply the existence, uniqueness and global robust stability of the equilibrium point for the class of BAM neural networks are obatined by the use of the proper Lyapunov functionals and exploiting the norm properties of the interval matrices.
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Conclusion & Impact:We also give some numerical examples to show the applicability and novelty of the results, and compare the results with the corresponding robust stability results derived in the previous literature
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Özet
This paper deals with the problem of robust stability of the class of bidirectional associative memory (BAM) neural networks with multiple time delays. Several new sufŞcient conditions that imply the existence, uniqueness and global robust stability of the equilibrium point for the class of BAM neural networks are obatined by the use of the proper Lyapunov functionals and exploiting the norm properties of the interval matrices. The derived results basically depend on the system parameters of neural network model and they are independent of the time delays. We also give some numerical examples to show the applicability and novelty of the results, and compare the results with the corresponding robust stability results derived in the previous literature
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Cite This Article
YUCEL, E. (2022). Novel Conditions for Robust Stability of Bidirectional Associative Memory Neural Networks with Multiple Time Delays. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 17 - Sayı: 1, 3195–3204. https://ajindex.com/articles/543595
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