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自校正预报
相关语句
  self-tuning prediction
    Self-tuning Prediction Switch Controller and Its Application
    自校正预报开关控制器及其应用
短句来源
    On-line identification and self-tuning prediction of the ARMA under the influence of stochastic distribution sequence with time varying mean and time varying variance have been studied.
    本文介绍了在具有时变均值和时变方差的随机干扰序列作用下,ARMA模型的在线辨识与自校正预报
短句来源
    The self-tuning prediction of the future value can be achieved on the basis of real time model-building and modification to the one-step predicting errors se-quence in the exponential smooth predictor.
    对指数平滑预报器一步预报误差序列进行实时建模和实时修正的基础上,实现对未来值的自校正预报
短句来源
    In this paper we propose two kinds of self-tuning prediction switch controllers(STPSW) consisting of self-tuning predictors and switch controllers.
    本文给出两种自校正预报开关控制器,它是由自校正预报器和开关控制器组合而成的。
短句来源
  “自校正预报”译为未确定词的双语例句
    A Kind of Generalized Pole Assignment Self-tuning Predictive Controller
    一种新型的广义极点配置自校正预报控制器
短句来源
    SELF RECTIFYING PREDICTION FOR CONTROLLED TIME VARYING OBJECT IN THERMAL SYSTEM
    热工对象时变系统的自校正预报
短句来源
    When appliedin computer control system the STPSW gain an advantage over general switch control-lers and possess a certain theoretical and practical value.
    在计算机控制系统中这种自校正预报开关控制器优于通常的开关控制器,具有一定的理论和应用价值。
短句来源
    A Kind of Generalized Pole Assignment Self-tuning Predictive Controller Algorithm is proposed.
    本文提出一种新型的广义极点配且自校正预报控制算法。
短句来源
    By introducing double constant alterations, we establish self-tuning predictive models of system and auxi-liary system.
    通过引人双恒等变换,推导出系统和辅助系统的自校正预报模型。
短句来源
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Based on the identification of original model, two kinds of self-tuning recursive multistep predictors are presented for multiple input-muhiple output (MIMO) systems. Keyser and Cauwenberghe's self-tuning muhistep predictor, which is based on the identification of some prediction models for single input-single output (SISO) systems, is extended and improved. In addition, the dynamic prediction of the oil and water outputs in the oil field is given as a practical application example.

基于原始模型的直接辨识,本文提出了两类多输入-多输出(MIMO)系统的多步自校正递推预报器;推广和改进了Keyser和Cauwenberghe的多步自校正预报器;给出了油田产油量、产水量动态预报的应用实例。

On-line identification and self-tuning prediction of the ARMA under the influence of stochastic distribution sequence with time varying mean and time varying variance have been studied. The on-line identification of the model can be achieved by a simple ELS method. The self-tuning prediction of the future value can be achieved on the basis of real time model-building and modification to the one-step predicting errors se-quence in the exponential smooth predictor. It can be used for short period prediction of...

On-line identification and self-tuning prediction of the ARMA under the influence of stochastic distribution sequence with time varying mean and time varying variance have been studied. The on-line identification of the model can be achieved by a simple ELS method. The self-tuning prediction of the future value can be achieved on the basis of real time model-building and modification to the one-step predicting errors se-quence in the exponential smooth predictor. It can be used for short period prediction of low altitude flight data by means of Rader measuring. Simulation and processed results of the measuring data show that themethod is simple and can acquire high precision. It can be used for real tine modelbuilding and short period prediction to some kind of non-stationary process via micro-computer.

本文介绍了在具有时变均值和时变方差的随机干扰序列作用下,ARMA模型的在线辨识与自校正预报。用简单的ELS方法实现模型的在线辨识。对指数平滑预报器一步预报误差序列进行实时建模和实时修正的基础上,实现对未来值的自校正预报。应用于雷达测量飞机低空飞行数据的短期预报,仿真和对实测数据的处理结果表明,此方法简单且精度较高,适用于微型机对一类非平稳过程的实时建模和短期预报。

This paper presents a microcomputer measurement-monitoring and prediction system with application to the oil refining. Some techniques of applied software, mathematical model and multiple self-tuning prediction method are given. This system was successfully applied to Harbin Oil Refinery.

本文提出了应用于石油炼制的微机监测预报系统,介绍了应用软件的某些技术,数学模型和多重自校正预报方法。该系统已成功地应用于哈尔滨炼油厂。

 
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