Boundedness and global robust stability analysis of delayed complex-valued neural networks with interval parameter uncertainties
作者： Qiankun Song , Qinqin Yu , Zhenjiang Zhao , Yurong Liu , Fuad E. Alsaadi
DOI: 10.1016/J.NEUNET.2018.03.008
关键词:
摘要: Abstract In this paper, the boundedness and robust stability for a class of delayed complex-valued neural networks with interval parameter uncertainties are investigated. By using Homomorphic mapping theorem, Lyapunov method inequality techniques, sufficient condition to guarantee existence, uniqueness global equilibrium point is derived considered uncertain networks. The obtained criterion expressed in LMI, which can be calculated numerically YALMIP solver SDPT3 MATLAB. An example simulations supplied show applicability advantages acquired result.
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