1994
DOI: 10.1142/2058
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Impulsive Differential Equations with a Small Parameter

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Cited by 69 publications
(65 citation statements)
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“…Impulsive differential equations have become an important aspect in some mathematical models of real processes and phenomena in science. There has a significant development in impulse theory and impulsive differential equations (see [1,2,3]). Moreover, p-Laplacian operator arises in non-Newtonian fluid flows, turbulent filtration in porous media and in many other application areas (see [5,7] and references therein).…”
Section: U T U T M U T U T U T U T Umentioning
confidence: 99%
“…Impulsive differential equations have become an important aspect in some mathematical models of real processes and phenomena in science. There has a significant development in impulse theory and impulsive differential equations (see [1,2,3]). Moreover, p-Laplacian operator arises in non-Newtonian fluid flows, turbulent filtration in porous media and in many other application areas (see [5,7] and references therein).…”
Section: U T U T M U T U T U T U T Umentioning
confidence: 99%
“…Note that this model includes two impulsive forcings: the increment in u and the shift of vesicles from state x to state y. Thus, in order to interpret these impulses via δ-sequences, we must include two smoothing parameters representing the fast timescales of each of these effects, 1 differential equations: Figure 6.2 shows a typical solution to (6.2) using the assumption that 2 1 . Allowing for multiple spiking events results in solutions y(t) such as those in Figure 6.3.…”
Section: Matched Asymptotics and Perturbationmentioning
confidence: 99%
“…A separate body of mathematical literature exists where problems with abrupt forcing are represented as impulsive differential equations [2,1]. These problems have two parts: (a) a differential equation describing the smooth evolution, valid for all times apart from the isolated times t * when the impulses occur,…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the choice of system of neural networks accompanied with impulsive conditions would be more appropriate. For more details on impulsive differential equations and their applications, we refer the readers to [4,5,6,9,10,21,26,27].…”
Section: Introductionmentioning
confidence: 99%