摘要
本文给出一个由闭环数据辨识状态空间模型的算法.此算法可辨识带有严重噪声干扰和延迟的稳定及不稳定系统。
In this paper, we present an algorithm to identify state space models based on the data obtained from closed loop systems. It works well on both stable and unstable system with serious noises and large delays and also is proved mathematically.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1999年第6期931-933,共3页
Control Theory & Applications
关键词
状态空间模型
子空间方法
系统辨识
闭环系统
closed loop identification
coprime factorization
state space models
subspace method