Exact(9)
The evolution of discrete plant body parts with separate functions allowed plants to move onto the land and undergo an incredible adaptive radiation.
However, the dynamic behaviors of discrete plant virus disease models with time delay are rarely considered.
In this paper, we study the dynamic behaviors of a discrete plant virus disease model with roguing and replanting which is derived from the continuous case.
By applying a variation of backward Euler scheme discretetization, we propose the following discrete plant virus disease model, which is derived from system (2.1).
In [28], the authors studied a discrete plant virus disease model with roguing and replanting, which is derived from the continuous case by using the backward Euler method.
Therefore, an important and interesting open problem is whether we can obtain similar results on the permanence and extinction of the disease for the discrete plant virus disease models with time delay.
Similar(51)
In 2012 Drax group abandoned plans for the discrete biomass plant development, due to changes in government subsidies for biomass energy production favouring plant conversion over new build plant.
Multiple model adaptive control (MMAC) of discrete time plant is considered in this paper.
Computational experiments to control a single-input single-output nonlinear discrete time plant are conducted in order to evaluate the learning performance and capability of the direct controller.
We develop first a parameterized discrete-time plant representation w.r.t. the sampling period.
The procedure is applicable to discrete LTI plants controlled by a LQG controller as detailed in Section 3.1.
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