Observability and identifiability of jump linear systems
Observability and identifiability of jump linear systems
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DOI：
10.1109/cdc.2002.1184923
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发表时间：
2002-12
期刊：
影响因子：
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通讯作者：
R. Vidal;A. Chiuso;Stefano Soatto
中科院分区：
文献类型：
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作者：
R. Vidal;A. Chiuso;Stefano Soatto
分析了一类线性混合系统的连续和离散状态的能观性。我们推导出秩条件，该模型的结构参数必须满足，以使滤波和平滑算法正确操作。我们还研究了模型参数的可识别性，其特征在于一组模型，产生相同的输出测量。最后，当数据由类中的模型生成时，我们给出了可以识别真实模型的条件。
We analyze the observability of the continuous and discrete states of a class of linear hybrid systems. We derive rank conditions that the structural parameters of the model must satisfy in order for filtering and smoothing algorithms to operate correctly. We also study the identifiability of the model parameters by characterizing the set of models that produce the same output measurements. Finally, when the data are generated by a model in the class, we give conditions under which the true model can be identified.