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Toplam kayıt 5, listelenen: 1-5
An improved robust stability result for uncertain neural networks with multiple time delays
(Pergamon-Elsevier Science Ltd, 2014-06)
This paper proposes a new alternative sufficient condition for the existence, uniqueness and global asymptotic stability of the equilibrium point for the class of delayed neural networks under the parameter uncertainties ...
An analysis of stability of uncertain neural networks with multiple time delays
(Pergamon-Elsevier Science Ltd, 2013-09)
This paper deals with the problem of robust stability of neural networks with multiple time delays with the class of unbounded and nondecreasing activation functions. By constructing a suitable Lyapunov functional and ...
New global robust stability condition for uncertain neural networks with time delays
(Elsevier Science BV, 2014-10-22)
In this paper, we investigate the robust stability problem for the class of delayed neural networks under parameter uncertainties and with respect to nondecreasing activation functions. Firstly, some new upper bound values ...
Equilibrium and stability analysis of delayed neural networks under parameter uncertainties
(Elsevier Science Inc, 2012-02-15)
This paper proposes new results for the existence, uniqueness and global asymptotic stability of the equilibrium point for neural networks with multiple time delays under parameter uncertainties. By using Lyapunov stability ...
Further analysis of global robust stability of neural networks with multiple time delays
(Pergamon-Elsevier Science Ltd, 2012-04)
This paper deals with the problem of the global robust asymptotic stability of the class of dynamical neural networks with multiple time delays. We propose a new alternative sufficient condition for the existence, uniqueness ...