摘要
基于传统的两步辨识方法 ,提出一类当频域数据样本在系统频率段上非均匀分布时的 H∞ 鲁棒辨识方法。分析了相应的最差情况的辨识误差 ,并给出了采用 L idstone插值样条算子和三角窗函数时显式最差情况辨识误差上界。
Basedonthetraditionaltwosteprobustidentification,a class of robust identification algorithms areproposedforthesysteminwhich frequency data are sampled in unequally distributed frequency intervals. The worst case identification error upper bound is analyzed, and an explict error upper bound is obtained when the Lidstone interpolation spline and triangular window are used.
出处
《控制与决策》
EI
CSCD
北大核心
2002年第5期575-578,共4页
Control and Decision
