Title
Global convergence of neural networks with mixed time-varying delays and discontinuous neuron activations
Abstract
In this paper, we investigate the dynamical behavior of a class of delayed neural networks with discontinuous neuron activations and general mixed time-delays involving both time-varying delays and distributed delays. Due to the presence of time-varying delays and distributed delays, the step-by-step construction of local solutions cannot be applied. This difficulty can be overcome by constructing a sequence of solutions to delayed dynamical systems with high-slope activations and show that this sequence converges to a desired Filippov solution of the discontinuous delayed neural networks. We then derive two sets of sufficient conditions for the global exponential stability and convergence of the neural networks, in terms of linear matrix inequalities (LMIs) and M-matrix properties (equivalently, some diagonally dominant conditions), respectively. Convergence behavior of both the neuron state and the neuron output are discussed. The obtained results extend previous work on global stability of delayed neural networks with Lipschitz continuous neuron activations, and neural networks with discontinuous neuron activations and only constant delays.
Year
DOI
Venue
2012
10.1016/j.ins.2011.08.021
Inf. Sci.
Keywords
Field
DocType
delayed neural network,delayed dynamical system,discontinuous neuron activation,neuron state,neuron output,neural network,global convergence,lipschitz continuous neuron activation,convergence behavior,dynamical behavior,mixed time-varying delay,time-varying delay,neural networks
Convergence (routing),Applied mathematics,Discrete mathematics,Control theory,Matrix (mathematics),Diagonally dominant matrix,Exponential stability,Dynamical systems theory,Lipschitz continuity,Artificial neural network,Neuron,Mathematics
Journal
Volume
Issue
ISSN
183
1
0020-0255
Citations 
PageRank 
References 
39
1.23
15
Authors
3
Name
Order
Citations
PageRank
Jun Liu121520.63
Xinzhi Liu21318106.23
Wei-Chau Xie327612.07