Title
Inner Approximation Of Parameter Uncertainty Intervals In Bounded Error Identification
Abstract
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 Cerone110017.07
Edoardo Fadda275.66
Diego Regruto317422.43