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Toplam kayıt 13, listelenen: 1-10
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 ...
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 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 ...
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 ...
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 ...
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 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 ...
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 ...
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 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 ...