๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Identification of state models using principal components analysis

โœ Scribed by M.K. Hartnett; G. Lightbody; G.W. Irwin


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
280 KB
Volume
46
Category
Article
ISSN
0169-7439

No coin nor oath required. For personal study only.

โœฆ Synopsis


A predictive state-space dynamic plant is identified using a two-stage approach based on principal components analysis.

ลฝ . The procedure is applied to a simulated benchmark problem known as the overheads condensor reflux drum OCRD model, a non-linear multivariable plant with mixed dynamics. The identified model is validated against an independent test set and its step and frequency responses compared with a linearised analytical model of the OCRD.


๐Ÿ“œ SIMILAR VOLUMES


Asymmetry analysis of deformable hippoca
โœ Sun Hyung Kim; Jong-Min Lee; Hyun-Pil Kim; Dong Pyo Jang; Yong-Wook Shin; Tae Hy ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 365 KB

## Abstract The hippocampus is thought to play an important role in learning and memory processing, and impairments in memory, attention, and decision making are found commonly in schizophrenia. Although many studies have reported decreases in hippocampal volume in the left hemisphere in schizophre

Principal component analysis of dipeptid
โœ Roberta Susnow; Clarence Schutt; Herschel Rabitz ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 60 KB

In this article, which appeared in Volume 15(9), 963-980, there were several typesetting errors in the equations. The corrected equations appear below. ## PRINCIPAL COMPONENT ANALYSIS measure of the overall molecular structural response to parametric disturbances, dp. ## The log normalized sensi