摘要
在噪声瞬时有界的情况下，提出了多输入多输出（MIMO）系统参数集员辨识的两种优化算法．这两种优化算法具有识别冗余数据的能力．而且与最小二乘方法相比具有更好的性能．文中的仿真例子验证了上述结果．
Assuming intantanous bounds on the noise, two optimal algorithms of set membership identification for parameters of MIMO systems are presented in this paper. The algorithms can detecte redundant data and have improved performace when compared with the least square algorithm. At last the previous results are tested by the simulation example.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1997年第3期403-406,共4页
Control Theory & Applications
关键词
集员辨识
优化算法
最小二乘法
控制论
set membership identification
optimal algorithms
least square method
