Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Shuanghua Bai"'
Autor:
Houduo Qi, Shuanghua Bai
Publikováno v:
Digital Signal Processing. 55:85-97
There have been significant advances in range-based numerical methods for sensor network localizations over the past decade. However, there remain a few challenges to be resolved to satisfaction. Those issues include, for example, the flip ambiguity,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0da76dfbde0995749a4b9689b8886e55
https://doi.org/10.1016/j.dsp.2016.05.006
https://doi.org/10.1016/j.dsp.2016.05.006
Publikováno v:
SIAM Journal on Optimization. 25:439-467
The problem of data representation on a sphere of unknown radius arises from various disciplines such as Statistics (spatial data representation), Psychology (constrained multidimensional scaling), and Computer Science (machine learning and pattern r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c535af184b6d539ad4ec6f97f91fcb2b
https://doi.org/10.1137/13094918x
https://doi.org/10.1137/13094918x
Publikováno v:
The Canadian Journal of Chemical Engineering. 85:111-117
The presence of measurement bias and random noise significantly deteriorates the information quality of plant data. Data reconciliation techniques for steady-state processes have been widely applied to processing industries to improve the accuracy an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3bdb52a5a183228c3e07fd0b2a2e64e
https://doi.org/10.1002/cjce.5450850111
https://doi.org/10.1002/cjce.5450850111
Publikováno v:
The Canadian Journal of Chemical Engineering. 83:515-526
Measured values of process variables are subject to measurement noise. The presence of measurement noise can result in detuned controllers in order to prevent excessive adjustments of manipulated variables. Digital filters, such as exponentially weig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::572e685c90279ae1c8e5efc3227b89cc
https://doi.org/10.1002/cjce.5450830315
https://doi.org/10.1002/cjce.5450830315
Publikováno v:
AIChE Journal. 53:438-448
Reliable estimation of process variables for plant monitoring and control is an important topic that has been studied extensively. The Kalman filter has often been used and has acquired an enviable reputation. However, use of the Kalman filter suffer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a64bac00815cd5d6304c424e57ff8c3a
https://doi.org/10.1002/aic.11080
https://doi.org/10.1002/aic.11080
Publikováno v:
Computers & Chemical Engineering. 31:127-135
Dynamic data reconciliation (DDR) is a technique used to estimate the true values of process variables when plant measurements are corrupted by measurement noise. DDR integrates information from both measurements and process models such that the reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02baf8b1c75cbde63dee3a9f6826eb6f
https://doi.org/10.1016/j.compchemeng.2006.05.010
https://doi.org/10.1016/j.compchemeng.2006.05.010
Publikováno v:
Chemical Engineering Communications. 192:1444-1467
Data reconciliation is a procedure that makes use of process models along with process measurements to give more precise and consistent estimates for process variables. Data reconciliation has been traditionally used to provide a more representative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe9cdcf2477af46f762c76c466756336
https://doi.org/10.1080/009864490895990
https://doi.org/10.1080/009864490895990
Publikováno v:
IFAC Proceedings Volumes. 38:65-70
The technique of dynamic data reconciliation has been previously studied in the literature and shown to be an effective tool to better estimate the true values of process variables by using information from both measured values and process models. Re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::321852558e0abc652f3dacd4453d9123
https://doi.org/10.3182/20050703-6-cz-1902.00011
https://doi.org/10.3182/20050703-6-cz-1902.00011
Autor:
SHUANGHUA BAI1 sb11g12@soton.ac.uk, HUO-DUO QI1 hdqi@soton.ac.uk, NAIHUA XIU2 naihua_xiu@126.com
Publikováno v:
SIAM Journal on Optimization. 2015, Vol. 25 Issue 1, p439-467. 29p.
Publikováno v:
Canadian Journal of Chemical Engineering; Feb2007, Vol. 85 Issue 1, p111-117, 7p, 2 Diagrams, 9 Graphs