论文部分内容阅读
大量的计算以及对一般关联矩阵先验知识的需求导致用户自定义指标在实际工业应用中存在诸多不便,鉴于此,为了减少对过程模型信息的需求,避免估计一般关联矩阵,研究了如何简化用户自定义指标的计算,并提出了两种改进的用户自定义指标的计算方法.该方法仅需过程常规数据和对过程输入/输出时延或关联矩阵阶次的估计便可完成指标的计算.最后通过仿真验证了两种方法的优越性和有效性.
In order to reduce the need for process model information and avoid estimating the general incidence matrix, a large number of computations and the demand of prior knowledge of general incidence matrix lead to user-defined indexes which are inconvenient in practical industrial applications. The calculation of custom indicators and two improved methods of calculation of user-defined indicators are proposed, which can calculate the indicators only by the process routine data and the estimation of process input / output delay or correlation matrix order. Finally, the simulation results verify the superiority and effectiveness of the two methods.