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
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;
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
Print_ISBN :
0-7803-7298-0
DOI :
10.1109/ACC.2002.1024496
