TY - CHAP
T1 - Linear gaussian systems and event-based state estimation
AU - Shi, Dawei
AU - Shi, Ling
AU - Chen, Tongwen
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - Starting from this chapter, we look into the problems in event-based estimator design. Before moving onto the detailed discussions of the technical approaches utilized, we first introduce the basic components and ideas in event-based estimation in this chapter. In general, an event-based state estimation system (see Fig.3.1) is composed of four parts: the process to be estimated, the sensors, the event-triggering scheme and the estimator.
AB - Starting from this chapter, we look into the problems in event-based estimator design. Before moving onto the detailed discussions of the technical approaches utilized, we first introduce the basic components and ideas in event-based estimation in this chapter. In general, an event-based state estimation system (see Fig.3.1) is composed of four parts: the process to be estimated, the sensors, the event-triggering scheme and the estimator.
UR - http://www.scopus.com/inward/record.url?scp=85029003884&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-26606-0_3
DO - 10.1007/978-3-319-26606-0_3
M3 - Chapter
AN - SCOPUS:85029003884
T3 - Studies in Systems, Decision and Control
SP - 33
EP - 46
BT - Studies in Systems, Decision and Control
PB - Springer International Publishing
ER -