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Consider the following system of delay differential equations: u ′ ( t ) = − f ( u ( t − r ) ), (1.1).
In [7], Táboas considered the system of delay differential equations (1.1).
The obtained suboptimal control is shown optimal for a closely related system of delay compensation variables.
In this paper we study a system of delay dynamic equations on the time scale T of the form.
In [15, 16], the authors explored the effect of HTLV-I interaction through a system of delay differential equations (DDEs).
Our aim in this work is to study the existence and the attractivity of solutions for a system of delay partial integro-differential equations of fractional order.
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When they are generalized to include state delays, the resulting models are described by a system of delay-differential-algebraic equations.
Design a system of delayed telesonography between expert center and isolated site where there is no sonographer.
For a system of delayed neural networks of Hopfield type, we deal with the study of global attractivity, multistability, and bifurcations.
This gives a semi-discrete system of delay-differential equations which are then solved in MATLAB using the dde23 code for solving delay-differential equations.
From these specifications, one can derive a model given by the system of delay-differential equations (11) n ˙ 1 (t ) = − λ 1 (n 2 (t ) ) n 1 (t ) n ˙ 2 (t ) = λ 1 (n 2 (t ) ) n 1 (t ) − λ 1 (n 2 (t − τ ) ) n 1 (t − τ ), where λ1(n2) is the decay rate computed from the transition matrix A(n2) in (5), with k1(n2) as in (10).
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