多变量的

To overcome the shortcomings of existing algorithms, the distributed parallel reactive power optimization algorithm based on sub-area division of the power systems is proposed according to the distributed and decentralized charac

针对目前无功电压优化算法存在的不足，根据电力系统分布、分散的特点，提出了基于电网分区的分布式并行无功优化算法，并对其进行了多目标、软约束的模糊化处理和离散控制变量的罚函数处理，利用直接非线性原—对偶内点法寻优求解。

To overcome the shortcomings of existing algorithms, the distributed parallel reactive power optimization algorithm based on sub-area division of the power systems is proposed according to the distributed and decentralized characteristics of the power system. Here, multi-objective function and soft constraints are modeled using fuzzy sets, and the multi-objective reactive power optimization problem is solved by the direct nonlinear primal-dual interior point algorithm.

针对目前无功电压优化算法存在的不足，根据电力系统分布、分散的特点，提出了基于电网分区的分布式并行无功优化算法，并对其进行了多目标、软约束的模糊化处理和离散控制变量的罚函数处理，利用直接非线性原—对偶内点法寻优求解。

Based on this model, using LQR and the Dragon Bergh extreme disposition method carried on the control to the two-wheeled self-balancing mobile robot in the posture and the speed, and obtained the stable dynamical balance process.

针对高阶次、不稳定、多变量、非线性、强耦合的两轮自平衡移动机器人系统，采用Lagrange方程推导出动力学模型，对其进行稳定性和可控性判断，并利用LQR和龙伯格极点配置的方法在此模型的基础上对两轮自平衡机器人的姿态和速度进行控制，可获得较为稳定的动态平衡过程。

By using the statistical data of 2005 urban cantonal non-agriculture population and its labor force structure from the Chinese urban year-books, with the start of basic urban economic activities, using the study on urban economic basis with the base of multivariate cities, this paper analyses the urban comprehensive functional classification of 18 cities in Henan Province, and classifies all cities into 6 groups, then analyses the urban functional system of Henan.

采用2005年城市市辖区非农业人口以及劳动力与就业人口的统计资料，以城市基本经济活动为出发点，在多变量聚类的基础上运用城市经济基础研究的方法，对河南省18个主要城市进行综合职能分类，共分出6个大类，然后进行简单的分析。

Based on the analysis of available decoupling control method, a neural-based adaptive control algorithm is proposed in this paper.

本文在对现有线性定常多变量系统解耦控制算法及非线性系统的神经网络控制算法分析研究的基础上，提出了基于神经网络的自适应解耦控制算法。

At the present time, these multiple variables are often switched into a dichotomized variable according to some classification criteria, and then the dichotomized variable is analyzed.

然而，对于复杂性状，我们往往很难判断这种定性划分的准则同疾病基因的遗传有何关系，所以用多个原始变量的数据来定位易感基因可能更为理想。

The broader the scope of a variable, the more information should be conveyed by its name.

变量的作用域越大，它的名字所携带的信息就应该越多。

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。

In this paper a method of using input - output sequences in a real system to identify a constant, multi-variable and stochastic linear system having unknown dimensions, system matrices and noise covariances is developed.

本文提出了利用实际系统的输入—输出试验数据，辨识具有未知维、参数阵和噪声协方差阵的定常、多变量、随机线性系统的方法。

A multi-variable DMC system model of a typical fourdrinier papermaking machine is developed in SIMULINK to analyze the effect of variables in DMC arithmetic on control performances.

利用MATLAB的仿真工具箱SIMULINK构造了典型长网纸机的多变量动态矩阵控制算法，分析了DMC算法中各参数对纸机控制性能的影响。

According to the clear water experiment, aeration performance of the new equipment is good with high total oxygen transfer coefficient and oxygen utilization ratio.

曝气设备的动力效率在叶轮转速为120rpm～150rpm时取得最大值，此时氧利用率和充氧能力也具有较高值。

The environmental stability of that world - including its crushing pressures and icy darkness - means that some of its most famous inhabitants have survived for eons as evolutionary throwbacks, their bodies undergoing little change.

稳定的海底环境─包括能把人压扁的压力和冰冷的黑暗─意谓海底某些最知名的栖居生物已以演化返祖的样态活了万世，形体几无变化。