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These systems are modeled by differential or difference equations.
Dynamics of water flow networks, such as irrigation canal systems, can be modeled by differential equations evolving on graphs.
The physical systems are modeled by differential equations in engineering problems.
Control systems are usually modeled by differential equations describing how physical phenomena can be influenced by certain control parameters or inputs.
These processes can be modeled by differential equations and difference equations, respectively.
Such a kind of problems could be adequately modeled by differential equations that contain a delay operator.
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Typically, such problems are modelled by differential equations where has jump discontinuities at a discrete set of points in, compare [1].
In the analytical studies of simple two-components networks modelled by differential equations [9] [11], it was proposed that the presence of a negative feedback loop and high Hill coefficients in the kinetic functions are the key ingredients for the occurrence of oscillatory behaviour.
Important results have been obtained by applying methods like flux balance analysis [ 1], modeling by differential equations [ 2], stochastic simulations [ 3], or elementary flux mode analysis [ 4].
Most of the engineering problems and phenomena are modeled by ordinary differential equation (ODEs) or partial differential equations (PDEs).
Real problems are mathematically modeled by stochastic differential equations (SDE) or, in more complicated cases, by nonlinear stochastic differential equations of the Itô type.
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developed by differential
explored by differential
influenced by differential
modeled by neutral
modeled by polynomial
modeled by passive
modeled by nonlinear
modeled by stochastic
modeled by random
modeled by Ca2+
modeled by predefined
modeled by impulsive
modeled by potential
modeled by exponential
modeled by discrete
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