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Toplam kayıt 6, listelenen: 1-6
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 ...
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 ...
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 ...
A new upper bound for the norm of interval matrices with application to robust stability analysis of delayed neural networks
(Pergamon-Elsevier Science Ltd, 2013-08)
The main problem with the analysis of robust stability of neural networks is to find the upper bound norm for the intervalized interconnection matrices of neural networks. In the previous literature, the major three upper ...
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 ...