第二章主要是研究某些类型的线性或非线性的带有离散时滞的偏差分方程解的振动性的判别法。
In the second part, we mainly consider oscillations of solution of some linear and nonlinear partial difference equations with discrete variables and delays.
证明了一类非线性离散动力系统不动点的两个判别方法，具体分析了两个不同类型的离散动力系统的不动点性质及其分岔特性。
Some nonlinear discrete dynamic systems are considered, and two discriminating methods of the fixed point are proved. The bifurcation behavior of the corresponding dynamic systems is also studied.
给出系统振动的比较定理，利用比较定理讨论了一类非线性偏差分方程的振动性，给出简单的判别条件及证明。
By means of the comparison theorem, and the oscillation of some non-linear partial difference equations is discussed and some concise conditions and authenticity are given.
本文研究一阶非线性中立型泛函微分方程的振动性。得到了该方程振动的充分性判别法则。
This paper deals with the oscillation of the first order nonlinear neutral type functional differential equation, and obtains sufficient criterion of the equation oscillation.
临界非线性系统的稳定性判别是稳定性研究的一个基本课题。
Judging stability of critical nonlinear systems is a basic problem of systems stability.
研究一类非线性的偶数阶中立型时滞微分方程，得到了该类方程解振动的几个新的判别准则，得到的结果推广了已有文献中的结果。
The oscillatory criteria of even order nonlinear neutral delay differential equations are studied. The results obtained extend several results in known literature.
本文在严格、完整的基础上，利用矩阵范数理论研究了结构非线性动力分析中数值积分格式的稳定性问题，给出了判别单自由度非线性动力方程积分格式稳定性的一般数学准则。
The problem of stability in the numerical integration schemes of nonlinear dynamic analysis of structures is discussed by using matrix and norm theory on a rigorous and complete basis in this paper.
本文用等效增益概念，根据根轨逊理论，导出了具有普遍意义的非线性系统稳定性的判别准则以及定性定量分析稳定性的方法。
From theory of root locus derived are the criteria of universal interest for stability of nonlinear system on the basis of equivalent gain, and methods for its qualitative and quantitive analyses.
实验结果表明，非线性主动判别函数获得了比线性主动判别函数更高的识别率。
Experimental results demonstrated that Nonlinear ADF has achieved a higher recognition rate than that of linear ADF.
实验结果表明，非线性主动判别函数获得了比线性主动判别函数更高的识别率。
Experimental results demonstrated that Nonlinear ADF has achieved a higher recognition rate than that of linear ADF.
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