Title | ||
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Inner Approximation Of Parameter Uncertainty Intervals In Bounded Error Identification |
Abstract | ||
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Several algorithms have been proposed in the last decades in the context of Set-membership identification to compute outer approximations of parameter uncertainty intervals. In this paper we present a probabilistic approach to evaluate inner approximations of these intervals. We also prove some statistical properties of the proposed methodology and we show the effectiveness of the presented approach by means of some simulation examples. |
Year | Venue | Field |
---|---|---|
2017 | 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | Applied mathematics,Approximation algorithm,Mathematical optimization,Random variable,Computer science,Measurement uncertainty,Approximations of π,Probabilistic logic,Uncertain systems,Bounded error |
DocType | ISSN | Citations |
Conference | 0743-1546 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vito Cerone | 1 | 100 | 17.07 |
Edoardo Fadda | 2 | 7 | 5.66 |
Diego Regruto | 3 | 174 | 22.43 |