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In recent years, with the development of modern science and technology, people have put forward a great many new neutral difference equations in natural science and social science as biology, economics, demology, physics and control theory, etc.

近年来,随着科学技术的发展,在自然科学与社会科学的许多学科中,如生物学、经济学、人口学、物理学以及控制论等,人们不断提出大量新的中立型差分方程

Because the time series generated from finite difference equation with chaos may also possess exponential distribution of probability density. Additionally, irregular dynamics has ever been attributed to the presence of stochastic noise in many systems, but actually it may result from chaotic process in deterministic system.

近年来对非线性动力系统的深入研究发现:观察到某一过程具有指数型概率密度事件分布并不足以确定它就是泊松过程,由具有混沌行为的有限差分方程所产生的时间序列也可具有指数型概率密度分布;在许多系统中,过去归因于随机噪声的不规则动力学特性,实际上很有可能是由确定性系统中的混沌过程所致。

Then, we examine the general random walk model in mathematics and derive a two-order difference equation and its corresponding differential equation.

为了得到可与生物试验加以比较的结论,需要求解在给定边界条件下的关于随机荡步模型的二阶差分方程

Differential difference equation is a kind of powerful means to investigate the rule of natural phenomena, whose qualitative analysis has always been the hot spot subject to be studied in the recent years.

微分差分方程是用来描绘自然现象变化规律的一种有力工具,其定性分析一直是近年来研究的热点问题。

Feedback control method is used to solve implicit difference equation in this paper.

提出了采用反馈控制方法求解隐式差分方程的方法。

The research tool is the difference equation.

研究的工具是差分方程

In this paper, a difference equation model of the plastication dynamics is identified from inputfoutput data.

在此,提出了一种动态的塑化差分方程模型,确定输入、输出的数据。

Using this method, we obtain the difference equation with variable coefficients and a fixed order.

使用这种离散方法,我们得到变系数但不变阶的差分方程

Difference equation is a sort of powerful means to investigate the rule of the discrete natural phenomena.

差分方程是描绘离散型自然现象变化规律的强有力工具。

The algorithm is deduced and difference equation of parameter error given by which the algorithm convergence is proved theoretically.

对该算法进行了推导,并给出了参数误差的差分方程,在理论上证明了算法的收敛性。

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