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论文类型：期刊论文

发表时间：2022-06-29

发表刊物：控制理论与应用

卷号：29

期号：4

页面范围：503-506

ISSN号：1000-8152

摘要：We propose a new recursive subspace identification algorithm for online
   estimating the system parameters in practical engineering.By introducing
   the instrumental variable,we convert this problem into a recursive
   minimization problem of an objective function.The recursive least square
   algorithm is employed to estimate the parameters,then the propagator
   method is developed to update the extended observability matrix;and the
   system matrices are finally computed.The proposed method is simple and
   effective and is improved to be robust to the uncertainty in initial
   values.The efficiency of this method is illustrated with a simulation
   example.

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