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Summary
| Description |
English: Moving horizon estimation uses a sliding time window. At each sampling time the window moves one step forward. It estimates the states in the window by analyzing the measured output sequence and uses the last estimated state out of the window, as the prior knowledge.
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| Date | |
| Source | Own work |
| Author | NegarHashemian |
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
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- to share – to copy, distribute and transmit the work
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- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 22:17, 24 July 2016 | | 986 × 684 (41 KB) | NegarHashemian | User created page with UploadWizard |
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