Journal
NEUROCOMPUTING
Volume 367, Issue -, Pages 198-206Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2019.08.030
Keywords
Complex-valued neural networks; Lyapunov method; Integral inequality; Linear matrix inequality; Stability
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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. (C) 2019 Elsevier B.V. All rights reserved.
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