TY - JOUR
T1 - Stability analysis for uncertain switched delayed complex-valued neural networks
AU - Gunasekaran, Nallappan
AU - Zhai, Guisheng
PY - 2019/11/20
Y1 - 2019/11/20
N2 - 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.
AB - 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.
KW - Complex-valued neural networks
KW - Integral inequality
KW - Linear matrix inequality
KW - Lyapunov method
KW - Stability
UR - http://www.scopus.com/inward/record.url?scp=85070712570&partnerID=8YFLogxK
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U2 - 10.1016/j.neucom.2019.08.030
DO - 10.1016/j.neucom.2019.08.030
M3 - Article
AN - SCOPUS:85070712570
SN - 0925-2312
VL - 367
SP - 198
EP - 206
JO - Neurocomputing
JF - Neurocomputing
ER -