In set membership estimation, conditional problems arise when the estimate must belong to a given set of assigned structure. Conditional projection algorithms provide estimates that are suboptimal in terms of the worst-case estimation error. In order to precisely evaluate the suboptimality level of
β¦ LIBER β¦
l2 projection in bounded-error estimation
β Scribed by Karel J. Keesman
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 729 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0890-6327
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Tight error bounds for projection algori
β
A. Garulli
π
Article
π
1999
π
Elsevier Science
π
English
β 112 KB
On the asymptotic normality of the L2-er
β
Jan Beirlant; LΓ‘szlΓ³ GyΓΆrfi
π
Article
π
1998
π
Elsevier Science
π
English
β 125 KB
Bounded-error estimation using dead zone
β
R. J. Evans; C. Zhang; Y. C. Soh
π
Article
π
1994
π
John Wiley and Sons
π
English
β 619 KB
Interval constraint propagation with app
β
Luc Jaulin
π
Article
π
2000
π
Elsevier Science
π
English
β 157 KB
For a large class of bounded-error estimation problems, the posterior feasible set S for the parameters can be de"ned by nonlinear inequalities. The set inversion approach combines classical interval analysis with branch-and-bound algorithms to characterize S. Unfortunately, as bisections have to be
Superconvergence for L2-projection in fi
β
Chuanmiao Chen
π
Article
π
1998
π
Springer
π
English
β 221 KB
Error estimates in projective solutions
β
Jean Mbaro-Saman Lubuma
π
Article
π
1993
π
Elsevier Science
π
English
β 825 KB