Dissipativity and passivity analysis for discrete-time complex-valued neural networks with time-varying delay
Gnaneswaran Nagamani, S. M. Ramasamy · Cogent Mathematics · 2015
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.