过程导数估计新方法及其强一致性分析

A New Approach to Estimate the Process Derivative and Its Strong Consistency Analysis

中文关键词  稳态优化控制  过程导致  辨识

英文关键词  steady-state optimizing control  process derivatives  identification

中文摘要

      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。

英文摘要

      As well as 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 paper, a new identification technique, by which process derivatives are estimated and the estimates are strong consistency, is presented. The paper also studies the limit distributions of estimate errors. Simulation results show that the new one is very efficient and practical.