极点位置自寻优鲁棒自适应算法研究

A Robust Adaptive Algorithm for Selfoptimizing of Pale ShiftingGH

本文研究的极点位置自寻优鲁棒自适应算法，是在传统的极点配置方法中，引入最小方差优化策略，从而将传统的极点配置策略与最小方差优化策略结合在一起，实现优势互补。

By applying the minimum variance (MV) optimizing strategy into the conventional pole assignment (PA) scheme,a robust adaptive algorithm for selfoptimizing of pole shifting was studies.Thus the algorithm has not only high control precision,quick response,high stability,but also strong robustness.It is a very convenient and fairy fine control algorithm.