An approach to closed-loop subspace identification by orthogonal decomposition
An approach to closed-loop subspace identification by orthogonal decomposition
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DOI：
10.1016/j.automatica.2007.02.011
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发表时间：
2007-09
期刊：
影响因子：
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通讯作者：
T. Katayama;Hideyuki Tanaka
中科院分区：
文献类型：
--
作者：
T. Katayama;Hideyuki Tanaka
提出了一种利用正交分解（ORT）方法辨识闭环系统的方法。其思想是通过使用LQ分解将输入和输出数据投影到外生输入空间，以获得它们的确定性分量。基于PRT的方法，然后应用到确定性的组件，如直接的方法，以获得状态空间模型的工厂。我们还表明，本方法是一个子空间版本的两阶段的方法从闭环数据的传递函数估计。一些仿真结果表明，本方法的适用性。
A method of identifying closed-loop systems is developed by using the orthogonal decomposition (ORT) method. The idea is to project the input and output data onto the space of exogenous inputs by using the LQ decomposition to obtain their deterministic components. The ORT-based method is then applied to deterministic components like the direct approach in order to derive state-space models of the plant. We also show that the present method is a subspace version of the two-stage method for transfer function estimation from closed loop data. Some simulation results are included to show the applicability of the present method.