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diophantine equation相关的网络例句

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The solution of these problems helps the study of other Diophantine equations and also produces some references, and makes some contributions to the research of Diophantine equation system.

这些问题的解决对数论中解决其它不定方程有一定的帮助和借鉴作用,对不定方程体系的了解有一定的贡献。

Diophantine equation is an old problem, especially, its more difficult to apply primary method to resolve the problems related to Diophantine equation.

不定方程是一个古老的丢番图问题,特别是应用初等方法去解决不定方程的有关问题更是不宜;许多解法很简单也易看懂,但却不宜想到。

Diophantine equation is an old problem, especially; it's more difficult to apply primary method to resolve the problems related to Diophantine equation. There are many solutions, which are very simple and also easy to understand, but hard to think out.

不定方程是一个古老的丢番图问题,特别是应用初等方法去解决不定方程的有关问题更是不易;许多解法很简单也易看懂,但却不易想到。

Aiming for discrete transfer fi.inction, on the basis of salving Diophantine equation, constrained Generalized Predictive Control is studied by using Quadratic Programming and Goal Programming.

针对离散传递函数模型,在求解Diophantine方程的基础上,分别用二次规划和目标规划对有约束广义预测控制进行了研究。

This paper develops a new design method of self-tuning pole placement controller. In this method, parameters of the controller can be directly obtained by a two level linear identifier. It is unnecessary to find the solutions of Diophantine Equation and identify the extra auxiliary parameters. At the same time, the effect of deterministic disturbances can be eliminated.

提出了一种极点配置自校正控制器的设计方法,这种方法用两级线性辨识器可直接获得控制器参数,无需求解Diophantine方程,也不需要辨识多余的辅助参数,而且可以消除确定扰动的影响。

A fuzzy predictive control method based on improved T-S fuzzy modeling method thus is acquired. A series of predictive model is obtained by improved T-S fuzzy modeling method. The model includes input and output data before current time and future input value. This method does not need to solve Diophantine equation and nonlinear programming.

并在此基础上给出了一种基于改进递阶聚类模糊T-S模型建模方法的模糊预测控制算法,根据预测控制中的预测步长,建立多个包括当前时刻以前的输入输出数据、未来时刻的输入量的模糊预测模型,可以在不求解Diophantine方程的情况下通过最优化性能指标得到预测控制律。

It identifies small parameters, moreover avoids online solving the Diophantine equation and inverse matrix. So the computation load of algorithm can be reduced greatly, and real-time property is advanced.

4提出一种基于灰色模型的多变量广义预测控制算法,该算法所需估计的参数少,而且多步情况下无需求解Diophantine方程,从而使计算量明显减少,极大的提高了实时性。

The controller's parameters were identified directly without solving the Diophantine equation or the inverse of matrices, and the online computing time was shortened, which makes the approach be very suitable for the fast rolling process.

采用对模型要求宽松的广义预测控制方法,基于广义误差估计值对控制器参数进行自适应调整,直接辨识控制律参数,省略Diophantine方程的求解、矩阵的求逆,缩短在线计算的时间,适用于快速的轧钢过程。

Generalized predictive control is a kind of advance control methods that is of strong robustness, can overcome the time delay of system effectively and is suitable to unstable non-minimum phase system. But it has the shortcoming of large computation load because of online solving the Diophantine equation, inverse matrix and recursion solution by Least squares. So four kinds of fast algorithms of GPC that don't need the mathematical model of plant and are highly real-time are proposed in the paper. They have laid the rationale for the application of GPC to systems that need fast response.

广义预测控制是一种鲁棒性强、能够有效地克服系统滞后、可应用于开环不稳定非最小相位系统的先进控制算法,但由于它需要Diophantine方程计算、矩阵求逆和最小二乘的递推求解,因此计算量很大,本文针对此缺陷提出四种不基于对象模型且实时性高的广义预测控制快速算法,为广义预测控制应用于实时性要求高的快速系统奠定了理论基础,具体研究工作如下。

Based on the discrete-time difference equation of the plant,an explicit solution of Diophantine matrix polynomial equations in multivariable generalized predictive control is derived without appealing to Diophantine matrix polynomial equations recursions or iterations,which makes the applications of generalized predictive control much more convenient.

直接利用被控对象的离散差分方程推导出多变量广义预测控制中Diophantine矩阵多项式方程的显式解,从而避免了其递推求解或迭代求解,使广义预测控制的应用更加方便。

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