Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
471138 | Computers & Mathematics with Applications | 2009 | 12 Pages |
Abstract
This paper considers identification problems of multirate multi-input sampled-data systems. Using the continuous-time system discretization technique with zero-order holds, the mapping relationship (state–space model) between available multirate input and output data is set up. The multi-innovation identification theory is applied to estimate the parameters of the obtained multirate models and to present a multi-innovation stochastic gradient algorithm for the multirate systems from the multirate input–output data. Furthermore, the convergence properties of the proposed algorithm are analyzed. An illustrative example is given.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Lili Han, Feng Ding,