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riccati equation相关的网络例句

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与 riccati equation 相关的网络例句 [注:此内容来源于网络,仅供参考]

The obtained result only needs to solve a single parameter dependent Riccati equation.

结果仅需求解一含有一个尺度参数的Riccati方程。

They avoid the Riccati equation and the computation of the optimal initial state estimates so that reduce the computational burden.

它们避免了Riccati 方程和最优初始状态估值的计算,因而可减小计算负担。

And, the conservation is reduced. Then, a Riccati equation approach is given for disk region pole-assigment.

对于圆域极点配置,给出了一种基于离散Riccati方程的设计方法。

And then it is made a very brief survey for the history and recent advance of Riccati equation and linear matrix inequality, especially their applications in system and control theory.

接着简单介绍Riccati方程和线性矩阵不等式的发展及其在控制领域中的应用。

With a given interference suppression ratio, corresponding feedback parameters can be obtained by solving the Riccati equation.

通过求解Riccati方程即可得到相应的反馈参数:在Riecati方程有正定解的前提下,干扰抑制比越小。

Based on the Riccati equation and optimal fusion rule

的在线估值器,进而基于Riccati 方程和对分量按标量加权最优融合

Matrix operations programmed as respective modules, other relevant work of application program can be simplified, and Riccati equation can be referred in other fields.

将矩阵运算类编制成独立的类模块,可以简化以后相关应用程序的编制工作,并且为Riccati方程在其它领域的应用提供参考。

On the existence of memoryless full state feedback controllers, we present a sufficient condition and give a design method in the form of Riccati equation.

关于全状态无记忆反馈控制器的存在性,给出了Riccati方程型的充分条件和设计方法。

What's more, using edited computer program based on symbolic method, we can get the value of Riccati equation (which is the key to solving the optimal control law).

通过编制的计算机应用程序,运用符号法对Riccati方程(求解最优控制律的核心方程)进行了数值求解。

The first conclusion infers the sufficient condition with the aid of thealgebra Riccati equation solution and the semi-group theory nature which the systemmay optimize;Next discussed when the system operator characteristic vector forms theRiesz base,causes control function concrete mathematical expression which its systemmay optimize;Finally summarized the system to be possible to optimize the researchnewest conclusion and the research forecast.

第一个结论借助代数Riccati方程的解及半群理论性质推导出系统可最优化;其次讨论了系统算子的特征向量形成Riesz基时,使其系统可最优化的控制函数的具体数学表达式;最后总结了系统可最优化研究的最新结论和研究展望。

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