Sufficient excitation conditions for system identification using binary-valued observations

Author

Wang, Le Yi ; Yin, G. George ; Zhao, Yanlong ; Zhang, Ji-Feng

Author_Institution

Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI

fYear

2006

fDate

14-16 June 2006

Abstract

Conditions on input signals are derived that characterize their probing richness for system identification using binary-valued observations. Identification configurations in open-loop, filtering, and feedback systems are discussed together with different scenarios of noises including actuator noise, input measurement noise, and output measurement noises. In addition to system parameter estimation, identifiability and sufficient excitation conditions are also derived under unknown threshold and noise distributions

Keywords

feedback; matrix algebra; open loop systems; parameter estimation; actuator noise; binary-valued observations; feedback system; filtering system; identification configurations; input measurement noise; open-loop system; output measurement noise; parameter estimation; sufficient excitation conditions; system identification; Actuators; Distribution functions; Filtering; Mathematics; Noise measurement; Output feedback; Parameter estimation; Sensor phenomena and characterization; Sensor systems; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2006

Conference_Location

Minneapolis, MN

Print_ISBN

1-4244-0209-3

Electronic_ISBN

1-4244-0209-3

Type

conf

DOI

10.1109/ACC.2006.1657306

Filename

1657306