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diophantine equation相关的网络例句

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Based on the relationship between the discrete-time difference equation and its observable state-space canonical form, the explicit solution to Diophantine equation in generalized predictive control is derived.

利用被控对象的离散差分方程与其状态空间能观标准型之间的关系,推导出广义预测控制中Diophantine方程的显式解,从而避免了其递推求解,使广义预测控制的应用更加方便。

It is unnecessary to find the solutions of Diophantine Equation and identify the extra auxiliary parameters.

一种方式是间接方法,先估计过程模型参数,再通过求解Diophantine方程得到控制参数[1]。

The proposed methods avoid the Riccati equation and Diophantine equation and can reduce the on-line computational burden.

本文提出的方法避免了求解Riccati方程和Diophantine方程,减小在线计算负担。

In view of the importance of solving Diophantine equation for Predictive Control, the details of its computer-solving algorithm is discussed and the flow chart is given correspondingly.

首先,概括了预测控制发展的历史和现状,简要介绍了预测控制的基本原理,考虑到求解Diophantine方程在广义预测控制中的重要作用,对其计算机算法作了较详细的讨论,并给出了相应的流程图。

Huge computation, including the on-line estimation of the process parameters, the computation of the Diophantine equation and, especially, the computation of the in...

在线计算量大,包括模型参数的在线辨识,Diophantine方程和逆矩阵的求解,以及其它计算,如处理约束问题需要的计算。

The algorithm is simple and it is not necessary to solve the Diophantine equation and the inverse matri x so that the on-line amounts of computation are reduced greatly.

该算法简单,不必求解Diophantine方程和逆矩阵,大大减小了在线计算量。

Aiming for discrete transfer function, on the basis of solving 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。

The history and state of Model Prediclive Control is summarized. The principle of Predictive Control is introduced brielly. In view of the importance of solving Diophantine equation for Predictive Control, the details of its computer-solving algorithm is discussed and the flow chart is given correspondingly.

首先,概括了预测控制发展的历史和现状,简要介绍了预测控制的基本原理,考虑到求解Diophantine方程在广义预测控制中的重要作用,对其计算机算法作了较详细的讨论,并给出了相应的流程图。

This algorithm takes account of all the constraints of the control signals and their increments. It does not require solving the Diophantine equation, and needs only small computer memory. Furthermore it weakens the coupling of the variables.

该算法充分考虑了控制输入及其增量受约束的情况,而且不必求Diophantine方程,减小了计算量,且削弱了变量之间的耦合程度。

A nonlinear predictive functional control algorithm using Hammerstein models has been developed. The characteristic of this strategy does not need nonlinear optimization that is replaced with linear optimization. Prediction of process output is calculated directly by parameters of model and does not require solving the Diophantine equation.

本文提出了基于Hammerstein模型的非线性预测函数控制,该算法的特点只需进行线性寻优而不需要进行非线性优化,同时过程的预测输出只需应用模型参数直接计算得到而不需要求解Diophantine方程。

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然而,正如其名字所指出的那样,CD盘不能写,也不能用任何方式改变其内容。

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