DocumentCode
2078970
Title
Input design for on-line system identification of a human respiratory system
Author
Schoen, Marco P.
Author_Institution
Coll. of Eng., Idaho State Univ., Pocatello, ID, USA
Volume
5
fYear
2002
fDate
2002
Firstpage
3661
Abstract
An efficient implementation of input design for on-line system identification is presented. The optimal input is calculated recursively based on the imminent available information content in the inverse correlation matrix of the data. The new input is computed one step ahead of time with a predictive filter so that it will increase the information content in the inverse correlation matrix. A numerical example is provided which is based on a human respiratory system.
Keywords
biocontrol; discrete time systems; identification; human respiratory system; identification; input design; inverse correlation matrix; on-line system identification; predictive filter; respiratory control system; system identification; Gaussian noise; Humans; Information filtering; Information filters; Mathematical model; Parameter estimation; Recursive estimation; Respiratory system; Signal to noise ratio; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2002. Proceedings of the 2002
ISSN
0743-1619
Print_ISBN
0-7803-7298-0
Type
conf
DOI
10.1109/ACC.2002.1024496
Filename
1024496
Link To Document