State estimation for systems with delayed measurements: An interacting multiple model approach
Chinese Control Conference, CCC, ISSN: 2161-2927, Vol: 2015-September, Page: 6679-6684
2015
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures3
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Conference Paper Description
This paper investigates state estimation problem for systems with delayed measurements, which is often encountered in networked control systems. The measurement transmission delay is modeled as Markov chain. By using the state augmentation technique, the system with delayed measurements is converted into a special multiple model system, then, the Interacting Multiple Model algorithm is applied to estimate the system states. Finally, the simulation results demonstrate the effectiveness of the proposed methods.
Bibliographic Details
Institute of Electrical and Electronics Engineers (IEEE)
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