Stability Analysis of Neural Networks With Time-Varying Delay by Constructing Novel Lyapunov Functionals.
basic_science · Level V
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- Record sourced from PubMed, PMID 29990087.
- Also identified by DOI 10.1109/TNNLS.2017.2760979.
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Abstract
This paper presents two novel Lyapunov functionals for analyzing the stability of neural networks with time-varying delay. Based on our newly proposed Lyapunov functionals and a relaxed Wirtinger-based integral inequality, new stability criteria are derived in the form of linear matrix inequalities. A comprehensive comparison of results is given to illustrate the newly proposed stability criteria from both the conservative and computational complexity point of views.