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过程导数
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  process derivatives
    In this paper,the main results obtained in refrence[6]are extended to linear multivarviablessysten,and the estimates of steady-state models and process derivatives are strong consistency. Simulation results show that the new identification technique is very efficient and practical.
    本文将文[6]中的结论推广到线性多变量系统,得到了稳态模型以及过程导数的强一致性估计,数字仿真结果也说明了该方法的有效性和实用性。
短句来源
  process derivatives
    In this paper,the main results obtained in refrence[6]are extended to linear multivarviablessysten,and the estimates of steady-state models and process derivatives are strong consistency. Simulation results show that the new identification technique is very efficient and practical.
    本文将文[6]中的结论推广到线性多变量系统,得到了稳态模型以及过程导数的强一致性估计,数字仿真结果也说明了该方法的有效性和实用性。
短句来源
  process derivative
    A New Approach to Estimate the Process Derivative and Its Strong Consistency Analysis
    过程导数估计新方法及其强一致性分析
短句来源
  “过程导数”译为未确定词的双语例句
    Investigation on Microelectrodes (Ⅹ)--The Steady-State Differential Voltammetry on Microdisc Electrode
    微电极研究(Ⅹ)——微盘电极上稳态过程导数伏安法
短句来源
    Adopting Teradas evaluating moment method, the statistical moments of the combined wave and wind loading, the variance of the derivation of the combined wave and wind load process and the correlation coefficient between wave and wind load are determined.
    利用 Terada的矩估计法 ,确定组合载荷的统计矩、组合载荷过程导数的方差及波浪载荷与风载荷的相关系数。
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  process derivatives
Process development is performed for process derivatives, such as shrink versions and high voltage sapplications.
      
  process derivatives
Process development is performed for process derivatives, such as shrink versions and high voltage sapplications.
      


For a steady-state industial process, Which the real process outputs are contaminated with mcasumcnt noise and hence, auarate measuments of neal process outpwts can not assume. Hence the optimum steady-state operating condition of the system is not obtained. This paper presents a new algorithm for obtaining the suboptimal condition, and investigates the relative between the suboptimality and the errors in measurement. The suboptimum operating condition will become the optimum operating condition with the errors...

For a steady-state industial process, Which the real process outputs are contaminated with mcasumcnt noise and hence, auarate measuments of neal process outpwts can not assume. Hence the optimum steady-state operating condition of the system is not obtained. This paper presents a new algorithm for obtaining the suboptimal condition, and investigates the relative between the suboptimality and the errors in measurement. The suboptimum operating condition will become the optimum operating condition with the errors in mcnsurcments approaching zero.

对于大多数的工业过程,由于受到噪声的影响,不可能得到输出和过程导数的精确值,因此最优稳态工况不可能得到。本文提出了一种求解决优稳态工况的方法,并从理论上分析了次优性与量测误差之间的关系。如果量测误差非常少,次优解将变化实际最优解。

As is well known, the process derivatives play a very important role in optimizing control. How to utilize the step signals of set-points changes in the course of optimizing control to estimate the process derivatives is a very significant thing. In this peper, a new identification technique, by which process derivatives are estimated and the estimates are strong consistency, is presented. The peper also studies the limit distrobutions of estimate er rors. Simulation results show that the new one is very...

As is well known, the process derivatives play a very important role in optimizing control. How to utilize the step signals of set-points changes in the course of optimizing control to estimate the process derivatives is a very significant thing. In this peper, a new identification technique, by which process derivatives are estimated and the estimates are strong consistency, is presented. The peper also studies the limit distrobutions of estimate er rors. Simulation results show that the new one is very efficient and practical.

众所周知,在稳态优化控制算法中,过程导数起着重要的作用,如何利用优化过程中设定点正常变化信号来估计过程导数是一项具有重要实际意义的工作.本文提出了一种新的辨识方法,该方法十分简单,应用条件较弱,且能获得过程导数的强一致性估计.本文还研究了估计残差的渐近分布,数字仿真结果说明了该辨识方法的有效性与实用性.

In general,the real process steady-state outputs are often contaminated with measumentnoise and hence,auurate measuments of real steady-state outputs and estimations of processderivatives cannot be assumed so,the real optimal solution cannot be obtained at all by using theISOPE methods,In the paper,two indexes which are used to assess Robustness of ISOPE meth-ods against noise are first presented,and the suboptimality and convergence of the ISOPE math-ods are examined.Finally,the Robustness of some typical ISOPE...

In general,the real process steady-state outputs are often contaminated with measumentnoise and hence,auurate measuments of real steady-state outputs and estimations of processderivatives cannot be assumed so,the real optimal solution cannot be obtained at all by using theISOPE methods,In the paper,two indexes which are used to assess Robustness of ISOPE meth-ods against noise are first presented,and the suboptimality and convergence of the ISOPE math-ods are examined.Finally,the Robustness of some typical ISOPE methods are discussed in detail.

对于大多数的实际工业过程,系统的稳态输出常常含有量测噪声.因而不可能得到系统的真实稳态输出值及过程导数真值,因而也不可能得到实际最优解。本文针对ISOPE方法(系统优化和多数估计的综合方法)给出了两种评价其算法鲁棒性的指标,并考察了其算法的收敛性与次优性。最后对几种典型的ISOPE方法进行了鲁棒性分析。

 
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