In this paper, for solving the parameter problem of two dimensional wave equation, the method of Finite Element and the Pulse Spectrum Technique, i. e. the iterative process are used.
本文针对求解二维波动方程的参数问题，利用有限元方法把波动方程反问题转化为有限元反问题，并利用脉冲谱技术，即一个迭代过程进行求解。
Based on the analysis of the two-level algorithm structure, the paper has proved that the model is a recursive simultaneous model, and the problem of model parameter recognition is resolved.
在分析两水平算法结构的基础上，论证模型为一递推型联立模型，解决了模型参数的识别问题。
For the problem of parameter estimation of one dimensional and two dimensional chirp signal in additive colored Gaussian noise, a new method based on fourth-order cumulant is proposed.
针对加性高斯有色噪声背景下的一维、二维线性调频信号的参量估计问题，引入高阶统计量，提出了一种基于四阶累积量的新方法。
By introducing a sensitivity parameter, the original optimal output tracking control problem is transformed into a series of two-point boundary value problems without time-advance or time-delay terms.
通过引入一个灵敏度参数，将原最优输出跟踪控制问题转化为不含超前项和时滞项的一族两点边值问题。
The algorithm adopts the line' s model of distributing parameter, uses two-end data and six-order component and considers the problem to identifying inaccurate parameter.
算法采用分布参数线路模型，利用了双端数据和六序分量法，并考虑了对不准确线路参数识别的问题。
The governing equations for the problem is modified into a second-order nonlinear differential system with two infinitesimal parameters and a double parameter multiple scale method is presented.
将该问题的基本方程化为具有两个小参数的二阶非线性方程组，并在双参数摄动法和单参数多重尺度法的基础上提出了双参数多重尺度法。
For the breaking up and atomization of viscous liquid jet from the air-blast nozzles is a complicated multi-parameter two-phase flow problem, it is hard to forecast the size of the droplet exactly.
气力式喷嘴黏性液体射流的破碎和雾化是一个复杂的两相流问题，因而难以准确预测其雾化粒径的大小。
The problem of satellite-to-satellite tracking (SST) separation parameter be discussed in two aspects.
从两个方面讨论了低轨卫星在做卫-卫跟踪（SST）观测时，星间隔的选择问题。
For two kinds of PID controller, we know how to optimize parameter is a key problem. In this paper, we select the Genetic Algorithms as a search way and get good effect.
对于两种PID控制策略来说，最关键的部分在于如何优化控制器参数，在本文中我们采用了遗传算法这一新型的优化搜索方法，并取得了较好的效果。
The double-valued problem can be simplified by introducing an appropriate affine parameter, namely, mapping the two Riemann sheets on the plane of the spectral parameter to the affine parameter space.
后来发现可以通过引入仿射参数而避开双值性，实质上是将两叶黎曼面分别映射到 仿射参数空间。
The double-valued problem can be simplified by introducing an appropriate affine parameter, namely, mapping the two Riemann sheets on the plane of the spectral parameter to the affine parameter space.
后来发现可以通过引入仿射参数而避开双值性，实质上是将两叶黎曼面分别映射到 仿射参数空间。
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