摘要
本文将广义最小方差策略与极点配置策略相结合并采用正则化及相对死区技术提出了一种鲁棒自校正显式算法,并给出了鲁棒性分析,物理实验结果和仿真结果。
A self-tuning robust explicit algorithm with normalization and dead-zone is presented combining generalized minimum variance with pole-placement strategy ,with the robustness discussed. In addition, the results of physical experiment and simulation are given.
基金
国家教委博士点基金
关键词
鲁棒性
自校正控制
正则化
死区
robustness, self-tuning control, normalization, dead-zone.
