Stability analysis for uncertain switched delayed complex-valued neural networks

Nallappan Gunasekaran, Guisheng Zhai

研究成果: Article

1 引用 (Scopus)

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The main concern of the paper is to address the stability of switched delayed complex-valued neural networks with uncertainties. Based on suitable Lyapunov–Krasovskii functional (LKF) and proposed lemma, the delay-dependent sufficient conditions are derived to guarantee the asymptotical stability of considered uncertain switched complex-valued neural networks. The derived sufficient conditions in terms of linear matrix inequalities are solved with the help of YALMIP toolbox in MATLAB. Two numerical examples are provided to ensure the effectiveness of the theoretical conditions.

元の言語English
ページ(範囲)198-206
ページ数9
ジャーナルNeurocomputing
367
DOI
出版物ステータスPublished - 2019 11 20

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ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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