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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Georgiou, Tryphon T. Shankwitz, Craig R. Smith, Malcolm C. |
| Copyright Year | 1992 |
| Description | Author affiliation: Department of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, U.S.A. (Georgiou, Tryphon T.; Shankwitz, Craig R.) || University of Cambridge, Department of Engineering, Cambridge CB2 1PZ, U.K. (Smith, Malcolm C.) |
| Abstract | This paper presents a methodology for model identification of SISO discrete-time linear systems. The approach relies on standard spectral estimation techniques which are then applied to the identification of a symbol for the graph. More specifically, the power spectrum of the stochastic process, which consists of both the inputs and the outputs of a given plant, is estimated and a symbol for the plant is identified as the inner part of a left canonical spectral factor of the spectrum. Bounds, in the L¿ sense, on the uncertainty in estimating power spectra are related to the error in identifying the plant which is measured in the L2-gap and the v-gap. |
| Starting Page | 307 |
| Ending Page | 312 |
| File Size | 453173 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780302109 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-06-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Linear systems Stochastic processes Power measurement Terminology Power system modeling Feedback loop Topology Uncertainty Robustness Transfer functions |
| Content Type | Text |
| Resource Type | Article |
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