Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Kondalsamy Gopalsamy"'
Publikováno v:
Applied Mathematics. :1715-1744
The dynamics of a fractionalized semi-linear scalar differential equation is considered with a Caputo fractional derivative. By using a symbolic operational method, a fractional order initial value problem is converted into an equivalent Volterra int
Autor:
Pingzhou Liu, Kondalsamy Gopalsamy
Publikováno v:
New Developments in Difference Equations and Applications ISBN: 9780203745854
Autor:
Kondalsamy Gopalsamy, Sannay Mohamad
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation. 14:27-50
This paper demonstrates the reliability of a discrete-time analogue in preserving the exponential convergence of a bidirectional associative memory (BAM) network that is subject to nonlinear impulses. The analogue derived from a semi-discretisation t
Publikováno v:
Nonlinear Analysis: Real World Applications. 9:872-888
This paper illustrates that there is a globally exponentially stable unique equilibrium state in an artificial neural network that is subject to delays distributed over unbounded intervals, and also to large impulses that are not too frequent. The ac
Autor:
Kondalsamy Gopalsamy, Sannay Mohamad
Publikováno v:
Computers & Mathematics with Applications. 55:2043-2063
This paper is concerned with the stability preservation in computer simulations of an impulsive bidirectional associative memory (BAM) network. The simulations are provided by difference equations formulated from a semi-discretisation technique and i
Autor:
Kondalsamy Gopalsamy
Publikováno v:
Nonlinear Analysis: Real World Applications. 8:688-698
A model of a second order neural network incorporating a weight adjusting learning component and time delays in processing and transmission is formulated. Delay-independent sufficient conditions are derived for the existence of an asymptotically and
Autor:
Pingzhou Liu, Kondalsamy Gopalsamy
Publikováno v:
Nonlinear Analysis: Real World Applications. 8:375-398
A mathematical model of a single isolated artificial neuron with hysterisis is formulated by means of a neutral delay differential equation. The asymptotic and exponential stability of such a model are investigated. Sufficient conditions for the expo
Autor:
Kondalsamy Gopalsamy
Publikováno v:
Applied Mathematics and Computation. 154:783-813
Sufficient conditions are obtained for the existence and asymptotic stability of a unique equilibrium of a Hopfield-type neural network with Lipschitzian activation functions without assuming their boundedness, monotonicity or differentiability and s
Publikováno v:
Annali di Matematica Pura ed Applicata (1923 -). 182:143-159
The dynamical characteristics of scalar difference equations of the form¶xn+1=f1(xn−τ1)+f2(xn−τ2), n=0,1,2,...,¶are investigated. A necessary and sufficient condition is obtained for all positive solutions to be oscillatory about a unique pos
Autor:
Sannay Mohamad, Kondalsamy Gopalsamy
Publikováno v:
Applied Mathematics and Computation. 135:17-38
Convergence characteristics of continuous-time cellular neural networks with discrete delays are studied. By using Lyapunov functionals, we obtain delay independent sufficient conditions for the networks to converge exponentially toward the equilibri