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Toplam kayıt 9, listelenen: 1-9
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 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 ...
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 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 ...
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 ...
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 ...
Robust stability analysis of a class of neural networks with discrete time delays
(Pergamon-Elsevier Science Ltd, 2012-05)
This paper studies the existence, uniqueness and global asymptotic stability of the equilibrium point for the class of neural networks with discrete constant time delays under parameter uncertainties. The class of the ...