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Toplam kayıt 16, listelenen: 11-16
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 ...
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 ...
New robust stability results for bidirectional associative memory neural networks with multiple time delays
(Elsevier Science Inc, 2012-08-01)
In this paper, the robust stability problem is investigated for a class of bidirectional associative memory (BAM) neural networks with multiple time delays. By employing suitable Lyapunov functionals and using the upper ...
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 ...
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 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 ...