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Toplam kayıt 16, listelenen: 1-10
New criteria for the existence of stable equilibrium points in nonsymmetric cellular neural networks
(2003)
This paper presents new criteria for the existence of stable equilibrium points in the total saturation region for cellular neural networks (CNNs). It is shown that the results obtained can be used to derive some complete ...
New sufficient criteria for global robust stability of neural networks with multiple time delays
(Işık University Press, 2012)
In this paper, we study global robust asymptotic stability of the equilibrium point for neural networks with multiple time delays. By employing suitable Lyapunov functionals, we derive a set of delay independent sufficient ...
Further analysis of stability of uncertain neural networks with multiple time delays
(Springer International Publishing AG, 2014-01-27)
This paper studies the robust stability of uncertain neural networks with multiple time delays with respect to the class of nondecreasing activation functions. By using the Lyapunov functional and homeomorphism mapping ...
An analysis of stability of a class of neutral-type neural networks with discrete time delays
(Hindawi Publishing Corporation, 2013)
The problem of existence, uniqueness, and global asymptotic stability is considered for the class of neutral-type neural network model with discrete time delays. By employing a suitable Lyapunov functional and using the ...
A new condition for robust stability of uncertain neural networks with time delays
(Elsevier Science BV, 2014-03-27)
This paper is concerned with the global asymptotic stability problem of dynamical neural networks with multiple time delays under parameter uncertainties. First carrying out an analysis of existence and uniqueness of the ...
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 ...
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 ...
A new robust stability criterion for dynamical neural networks with multiple time delays
(Elsevier Science BV, 2013-01-01)
This paper investigates the problem of the existence, uniqueness and global asymptotic stability of the equilibrium point for the class of neural networks with multiple time delays and parameter uncertainties. Under the ...
New criteria for global robust stability of delayed neural networks with norm-bounded uncertainties
(IEEE-INST Electrical Electronics Engineers Inc, 2014-06)
In this paper, we study the global asymptotic robust stability of delayed neural networks with norm-bounded uncertainties. By employing the Lyapunov stability theory and homeomorphic mapping theorem, we derive some new ...
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 ...