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．
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.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1994年第1期12-19,共8页
Control Theory & Applications
基金
高等学校博士学科点专项科研基金
关键词
过程导数
辨识
最佳控制
一致性
steady-state optimizing control
process derivatives
identification
