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- W2899156457 abstract "Abstract We propose a deterministic identification method that involves a priori information characterized as moments of a transfer function. The moments are expressed in terms of the solution to a Sylvester matrix equation . The Sylvester equation is incorporated with a conventional subspace identification method, and a problem for moment-constrained subspace identification is formulated. Since the identification problem is in a class of nonlinear optimization problems, it cannot be efficiently solved in numerical computation. Application of a change-of-variable technique reduces the problem to least squares optimization, and the solution provides a state-space model that involves the prespecified moments. Finally, the effectiveness of the proposed method is illustrated in numerical simulations." @default.
- W2899156457 created "2018-11-09" @default.
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- W2899156457 date "2019-01-01" @default.
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- W2899156457 title "Subspace identification with moment matching" @default.
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- W2899156457 doi "https://doi.org/10.1016/j.automatica.2018.10.002" @default.
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