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Toplam kayıt 5, listelenen: 1-5
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 ...
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 ...
Dynamical analysis of uncertain neural networks with multiple time delays
(Taylor & Francis Ltd, 2016-02-17)
This paper investigates the robust stability problem for dynamical neural networks in the presence of time delays and norm-bounded parameter uncertainties with respect to the class of non-decreasing, non-linear activation ...
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 ...