Over-sampling approach to closed-loop identification
Over-sampling approach to closed-loop identification
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DOI：
10.1109/cdc.1997.657627
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发表时间：
1997-12
期刊：
影响因子：
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通讯作者：
Lianming Sun;Wenjiang Liu;A. Sano
中科院分区：
文献类型：
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作者：
Lianming Sun;Wenjiang Liu;A. Sano
提出了一种基于输出过采样的线性离散闭环系统辨识算法。即使不满足一般的可辨识性条件，也可以利用包含更多系统结构信息的过采样输出数据来辨识闭环系统，而不需要利用任何外部测试信号。这是一个显着的优势，所提出的方法相比，传统的。
A new identification algorithm for a linear discrete-time closed-loop system is proposed based on an output over-sampling scheme. Even if the ordinary identifiability conditions are not satisfied, a closed-loop system can be identified by using the over-sampled output data which contain more information about the system structure without utilizing any external test signal. It is a distinctive advantage of the proposed approach compared to conventional ones.