This paper presents a novel intelligent fuzzy weighted input estimation method which effiviently and robustly estimates the unknown ground motion accelerations. The new input estimation method includes the Kalman Filter (KF) and the recursive least square estimator (RLSE), which is weighted by the f
β¦ LIBER β¦
Intelligent multi-input instrument for electrical measurements
β Scribed by F. Ferraris; I. Gorini; M. Parvis
- Publisher
- Elsevier Science
- Year
- 1987
- Tongue
- English
- Weight
- 492 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0263-2241
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Intelligent fuzzy weighted input estimat
β
Tsung-Chien Chen; Ming-Hui Lee; Huai-Min Wang
π
Article
π
2009
π
Elsevier Science
π
English
β 930 KB
An automatic compensating instrument for
β
O. Cloos; G. Heigwer
π
Article
π
1971
π
Elsevier Science
β 394 KB
Intelligent connection manager for seaml
β
Edward Grinshpun; David W. Faucher; Sameer Sharma
π
Article
π
2011
π
Institute of Electrical and Electronics Engineers
π
English
β 370 KB
Effect of antenna envelope correlation f
β
Dongjin Kim; Taesik Yang; Minchan Kim
π
Article
π
2011
π
John Wiley and Sons
π
English
β 578 KB
## Abstract This article describes the effect of antenna envelope correlation in the throughput of multiβinput multioutput (MIMO) antenna system.Despite the fact that antenna envelope correlation is a critical factor that determines the data transmitting capability of a MIMO antenna system, an appr
An instrument for DC electric field and
β
G. Stanev; M. Petrunova; D. Teodosiev; I. Kutiev; K. Serafimov; S. Chapkunov; V.
π
Article
π
1982
π
Elsevier Science
π
English
β 302 KB
Multi-service switches and the Service I
β
Harald Graber; Humberto J. La Roche
π
Article
π
2003
π
Institute of Electrical and Electronics Engineers
π
English
β 185 KB
π 1 views