Title :
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
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;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
DOI :
10.1109/ACC.2006.1657306
