Journal
NEUROCOMPUTING
Volume 244, Issue -, Pages 33-41Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2017.03.015
Keywords
Complex-valued neural networks; Lagrange stability; Time-varying discrete delays; Time-varying distributed delays; Leakage delay; Linear matrix inequality in complex domain
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Funding
- National Natural Science Foundation of China [61473332, 11402214]
- Program of Chongqing Innovation Team Project in University [CXTDX201601022]
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This paper discusses the stability in Lagrange sense for complex-valued neural networks with time varying discrete delays and distributed delays as well as leakage delay. By constructing an appropriate Lyapunov-Krasovskii functional, and employing free-weighting-matrix approach and inequality techniques in matrix form, a sufficient criterion to guarantee global exponential stability in Lagrange sense is obtained for the investigated neural networks. The given criterion is delay-dependent and is shown as linear matrix inequalities in complex domain, which can be calculated numerically applying valid YALMIP toolbox in MATLAB. A numerical example is provided to manifest the validity of the proposed result. (C) 2017 Elsevier B.V. All rights reserved.
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