Even ecosystems, such as tropical rain forests, which don't have variable rainfall, also have patch dynamics due to periodic storms and tree falls.
甚至生态系统，比如热带雨林，没有可变的降雨量，但由于定期下暴雨和减少树木，该地带有了变化的内在动力。
Periodic change imposed on a controlled variable or a function by a controller.
通过控制器控制某一变量或函数进行周期性变化。
In this paper the second fundamental problems in anisotropic elastic plane with periodic cracks are discussed by the complex variable methods.
采用复变方法，讨论了带周期裂缝的不同材料拼接的各向异性弹性平面第二基本问题。
Good controlling results are gotten by using periodic pulses disturbance method proportioned with system variable to control the chaos.
利用正比于系统变量的周期脉冲扰动法对其混沌进行控制，得到较好的控制结果。
By means of suitable Lyapunov functionals, the exponential stability of periodic solutions for shunting inhibitory cellular neural networks(SICNNs)with delays and variable coefficients is studied.
利用适当的李亚普若夫泛函，研究了时滞分流抑制型细胞神经网络的周期解的指数稳定性。
Area electric power charge is variable peculiarly with periodic fluctuation.
区域电力负荷具有特殊的变化规律。
The sun is not considered a variable star, but it does undergo periodic changes in activity known as the sunspot cycle.
太阳是不被认为是变星，但它的变化进行定期的活动被称为太阳黑子周期。
By the discretization of spatial variable in the equation, a third-order differential system of equations containing periodic time-varying coefficient is derived.
采用微分求积法对方程中的空间变量进行离散，得到仅含有时间变量的三阶周期系数微分方程组。
Finally, our method is applied to higher dimensional KP equation with variable coefficients to obtain more doubly-periodic solutions.
最后，把它应用于高维变系数KP方程，获得了更多的双周期解。
Universal motor is a typical electromagnetic energy conversion complex system, which is nonlinear, strong coupling, multi-variable and periodic.
通用电机是一个典型的非线性、强耦合、多变量、周期性的机电能量转换的复杂系统。
In Chapter 3, we discuss the existence and global exponential stability of periodic solutions for discrete-time cellular neural network with mixed delays and variable coefficients.
第三章对变系数离散时间混合时滞细胞神经网络模型周期解的存在性与全局指数稳定性进行了讨论。
In Chapter 3, we discuss the existence and global exponential stability of periodic solutions for discrete-time cellular neural network with mixed delays and variable coefficients.
第三章对变系数离散时间混合时滞细胞神经网络模型周期解的存在性与全局指数稳定性进行了讨论。
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