Dissipativity and passivity analysis for discrete-time complex-valued neural networks with time-varying delay

Cogent Mathematics

G. Nagamani¹  S. Ramasamy¹ 

[1] Gandhigram Rural Institute - Deemed University;

关键词: complex-valued neural networks;    dissipativity;    Lyapunov–Krasovskii functional;    linear matrix inequalities(LMIs);    time-varying delay;   

DOI  :  10.1080/23311835.2015.1048580

来源: DOAJ

【 摘 要 】

In this paper, we consider the problem of dissipativity and passivity analysis for complex-valued discrete-time neural networks with time-varying delays. The neural network under consideration is subject to time-varying. Based on an appropriate Lyapunov–Krasovskii functional and by using the latest free-weighting matrix method, a sufficient condition is established to ensure that the neural networks under consideration is strictly $ (\mathcal Q , \mathcal S , \mathcal R ) $-dissipative. The derived conditions are presented in terms of linear matrix inequalities. A numerical example is presented to illustrate the effectiveness of the proposed results.

【 授权许可】

Unknown