multivariate control meaning in Chinese
多元控制
Examples
- However , the common problem that still exits in these techniques is how to discriminate the variables that are really being out of control when the multivariate control charts are signaling
这些多元质量控制技术存在的共同问题是:一旦发现失控信号，由于相关性，很难判断哪个/哪些变量出现问题。 - Controller performance assessment algorithms based on minimum variance for single loop control system , multivariate control system and cascade control system are derived in the paper
本文利用最小方差准则，给出了单变量、多变量及串级控制回路的性能评价方法，并对工业中两个精馏塔控制系统的性能进行了分析。 - 3 . discussing application of entropy in multivariate control chart , firstly , testing whether the correlation structure has changed by means of the mutual information approach . secondly , using approximately approach to discuss two estimators of conditional entropy . finally , establishing corresponding entropy chart
讨论了熵在多变量控制图中的应用，首先利用相互信息量的方法检测相关阵是否变化，然后利用近似的方法讨论了两种条件熵的估计量，建立了相应的熵图。 - Summarizes the design and develop ways of monitoring and fault diagnosis systems based on pca for multivariable control system . introduces the main statistical variables , multivariate control charts and the analysis ways of statistical variables . then this paper takes a model of continuous process for example , to show and analysis the result of fault diagnosis based on pca
概述和总结了基于主元分析的多变量控制系统故障监测与诊断系统设计思想，分析了主要统计量、控制图以及数据基本分析处理方法，并以一个连续生产过程模型为例，阐述了故障诊断模型的建立过程以及诊断结果分析。 - In this article we study performance analysis of mpc control system from two aspects , academically and for application , and get some conclusions : 1 . on the base of conventional performance assessment method we propose integrated performance analysis method of multivariate control system ( ipammcs ) . this method can present more information about the existing control system , such as stochastic performance , deterministic performance and oscillation
本文从理论和实际应用两个方面对mpc性能进行了研究，并取得了以下结果： ( 1 )在传统的性能评价方法的基础上提出了综合的多变量控制系统性能分析方法( integratedperformanceanalysismethodofmultivariatecontrolsystem ，简称ipammcs方法) ，这个方法能从确定性能性能、随机性性能及是否存在振荡几个方面有效地评价已有的控制系统；该方法不仅适用于对具有一般控制器的控制系统的评价，而且对于基于模型的控制系统的评价也是非常有效的。