TY - GEN
T1 - Event-Triggered Cooperative Unscented Kalman Filtering
AU - Song, Weihao
AU - Wang, Jianan
AU - Wang, Chunyan
AU - Shan, Jiayuan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/18
Y1 - 2018/12/18
N2 - In this paper, the weighted average consensus-based unscented Kalman filtering combined with event-triggered communication mechanism is developed. Each sensor node chooses to transmit its latest measurement update to the corresponding remote estimator based on its own event-triggering condition. A sufficient condition is derived to guarantee that the estimation error is bounded in mean square. Finally, an illustrative example is presented to demonstrate the feasibility and effectiveness of the proposed algorithm.
AB - In this paper, the weighted average consensus-based unscented Kalman filtering combined with event-triggered communication mechanism is developed. Each sensor node chooses to transmit its latest measurement update to the corresponding remote estimator based on its own event-triggering condition. A sufficient condition is derived to guarantee that the estimation error is bounded in mean square. Finally, an illustrative example is presented to demonstrate the feasibility and effectiveness of the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85060818932&partnerID=8YFLogxK
U2 - 10.1109/ICARCV.2018.8581328
DO - 10.1109/ICARCV.2018.8581328
M3 - Conference contribution
AN - SCOPUS:85060818932
T3 - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
SP - 1004
EP - 1009
BT - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Y2 - 18 November 2018 through 21 November 2018
ER -