TY - GEN
T1 - A general sampled observability result and its applications
AU - Zeng, Shen
AU - Allgower, Frank
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/27
Y1 - 2016/12/27
N2 - We present a general sampled observability result for linear systems under not necessarily periodic sampling and furthermore illustrate its applicability in a number of problems which are of interest in their own right. We consider, with the general sampled observability result at hand, the problem of non-pathological sampling in multitarget tracking and the problem of non-pathological sampling of a class of switched linear systems. It is shown that for both problem types, the consideration of non-periodic sampling schemes is crucial, and that the general sampled observability result provides a particularly flexible and suitable tool to address these kinds of problems.
AB - We present a general sampled observability result for linear systems under not necessarily periodic sampling and furthermore illustrate its applicability in a number of problems which are of interest in their own right. We consider, with the general sampled observability result at hand, the problem of non-pathological sampling in multitarget tracking and the problem of non-pathological sampling of a class of switched linear systems. It is shown that for both problem types, the consideration of non-periodic sampling schemes is crucial, and that the general sampled observability result provides a particularly flexible and suitable tool to address these kinds of problems.
UR - http://www.scopus.com/inward/record.url?scp=85010739036&partnerID=8YFLogxK
U2 - 10.1109/CDC.2016.7798874
DO - 10.1109/CDC.2016.7798874
M3 - Conference contribution
AN - SCOPUS:85010739036
T3 - 2016 IEEE 55th Conference on Decision and Control, CDC 2016
SP - 3997
EP - 4002
BT - 2016 IEEE 55th Conference on Decision and Control, CDC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 55th IEEE Conference on Decision and Control, CDC 2016
Y2 - 12 December 2016 through 14 December 2016
ER -