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Slim Hachicha Regular paper Induction motor parameters estimation based on the subspace identification approach
In this paper, we are interested in the survey of deterministic identification by subspace approach. To the opposite of classic recursive identification method, this new technique is well adapted to multivariable linear time invariant LTI systems described by a state space model, and of consequent order. Founded on geometric and mathematical tools of linear algebra such as matrix projection, QR decomposition and Singular Value Decomposition SVD, the subspace identification method permits tofatcat:hht7xtkmyzaqbllsd6ex7ejk2y