Stability analysis of delayed neural networks via a new integral inequality.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 28189839.
- Also identified by DOI 10.1016/j.neunet.2017.01.008.
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Abstract
This paper focuses on stability analysis for neural networks systems with time-varying delays. A more general auxiliary function-based integral inequality is established and some improved delay-dependent stability conditions formulated in terms of linear matrix inequalities (LMIs) are derived by employing a suitable Lyapunov-Krasovskii functional (LKF) and the novel integral inequality. Three well-known application examples are provided to demonstrate the effectiveness and improvements of the proposed method.
Medical subject headings
- Computer Simulation
- Neural Networks, Computer