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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sanders, C. Tacker, E. Linton, T. Ling, R. |
| Copyright Year | 1963 |
| Abstract | This paper considers the design and evaluation of large-scale state estimation algorithms having specific structures which allow the subsystems to exchange information over noisy channels. The specific structures which are presented are first motivated by considering the relative performance between the surely locally unbiased filter and a global dynamics filter. The role of the surely locally unbiased filter in evaluating the tradeoffs between the cost of information transfer and filter performance is examined and a theorem is presented which forms the basis for an algorithm for calculating channel noise crossover levels. The theoretical results are illustrated via an application to a power system model. |
| Sponsorship | IEEE Control Systems Society |
| Starting Page | 255 |
| Ending Page | 261 |
| Page Count | 7 |
| File Size | 700897 |
| File Format | |
| ISSN | 00189286 |
| Volume Number | 23 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1978-04-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Large-scale systems State estimation Noise measurement Gaussian noise Filters Noise level Power system modeling Algorithm design and analysis Costs Hardware |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications |
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