TY - GEN
T1 - Simultaneous input and state estimation with a delay
AU - Yong, Sze Zheng
AU - Zhu, Minghui
AU - Frazzoli, Emilio
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/2/8
Y1 - 2015/2/8
N2 - In this paper, we present recursive algorithms for linear discrete-time stochastic systems that simultaneously estimate the states and unknown inputs in an unbiased minimum-variance sense with a delay. By allowing potential delays in state estimation, the stricter assumptions in a previous work [1] can be relaxed. Moreover, we show that a system property known as strong detectability plays a key role in the existence and stability of the asymptotic estimator with a delay we propose.
AB - In this paper, we present recursive algorithms for linear discrete-time stochastic systems that simultaneously estimate the states and unknown inputs in an unbiased minimum-variance sense with a delay. By allowing potential delays in state estimation, the stricter assumptions in a previous work [1] can be relaxed. Moreover, we show that a system property known as strong detectability plays a key role in the existence and stability of the asymptotic estimator with a delay we propose.
UR - http://www.scopus.com/inward/record.url?scp=84962033755&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962033755&partnerID=8YFLogxK
U2 - 10.1109/CDC.2015.7402244
DO - 10.1109/CDC.2015.7402244
M3 - Conference contribution
AN - SCOPUS:84962033755
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 468
EP - 475
BT - 54rd IEEE Conference on Decision and Control,CDC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 54th IEEE Conference on Decision and Control, CDC 2015
Y2 - 15 December 2015 through 18 December 2015
ER -