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Global exponential stability in Lagrange sense for periodic neural networks with various activation functions

2010; Elsevier BV; Volume: 74; Issue: 5 Linguagem: Inglês

10.1016/j.neucom.2010.11.016

1872-8286

Ailong Wu, Zhigang Zeng, Chaojin Fu, Wenwen Shen,

stochastic dynamics and bifurcation

In this paper, global exponential stability in Lagrange sense for periodic neural networks with various activation functions is further studied. By constructing appropriate Lyapunov-like functions, we provide easily verifiable criteria for the boundedness and global exponential attractivity of periodic neural networks. These theoretical analysis can narrow the search field of optimization computation, associative memories, chaos control and provide convenience for applications.