DocumentCode :
3413919
Title :
System identification with binary-valued sensors
Author :
Le Yi Wang ; Zhang, Ji-Feng
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
Volume :
6
fYear :
2001
fDate :
2001
Firstpage :
4410
Abstract :
The problem of system identification is investigated for plants which are equipped only with binary-valued sensors. Optimal identification errors, time complexity, optimal input design, and impact of disturbances and unmodelled dynamics on identification accuracy and complexity are explored. It is revealed that switching sensors impose fundamental limitations on identification accuracy and time complexity, and carry distinct features beyond identification with regular sensors. Furthermore, it is shown that the time complexity of such identification problems is intimately related to the Kolmogorov ε-entropy of parameter uncertainty sets
Keywords :
computational complexity; dynamics; parameter estimation; sensors; Kolmogorov ϵ-entropy; Optimal identification errors; binary-valued sensors; disturbances impact; identification accuracy; identification complexity; optimal input design; parameter uncertainty sets; switching sensors; system identification; time complexity; unmodelled dynamics impact; Application software; Automotive engineering; Costs; Gas detectors; Sensor phenomena and characterization; Sensor systems; Signal to noise ratio; System identification; Uncertain systems; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
ISSN :
0743-1619
Print_ISBN :
0-7803-6495-3
Type :
conf
DOI :
10.1109/ACC.2001.945672
Filename :
945672
Link To Document :
بازگشت