TY - GEN
T1 - Remote State Estimation for Jump Markov Nonlinear Systems
T2 - 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
AU - Song, Weihao
AU - Wang, Jianan
AU - Wang, Dandan
AU - Wang, Chunyan
AU - Shan, Jiayuan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6/29
Y1 - 2020/6/29
N2 - This paper investigates the remote state estimation issue for the jump Markov nonlinear systems (JMNLSs) with the stochastic event-triggered transmission strategy. For the purpose of saving the scarce network resources, the stochastic event-triggered communication is employed to cut down the number of measurement transmission. The interacting multiple model (IMM) scheme is incorporated due to its strength in alleviating computational burden encountered in the multiple model state estimation problem. In addition, the estimated measurement is utilized to update the mode probability in IMM-based filter when the current measurement is not available to the remote estimators. The proposed algorithm is applied in a two-dimensional maneuvering target tracking problem and the simulation results are presented, which validates the usefulness of the developed scheme.
AB - This paper investigates the remote state estimation issue for the jump Markov nonlinear systems (JMNLSs) with the stochastic event-triggered transmission strategy. For the purpose of saving the scarce network resources, the stochastic event-triggered communication is employed to cut down the number of measurement transmission. The interacting multiple model (IMM) scheme is incorporated due to its strength in alleviating computational burden encountered in the multiple model state estimation problem. In addition, the estimated measurement is utilized to update the mode probability in IMM-based filter when the current measurement is not available to the remote estimators. The proposed algorithm is applied in a two-dimensional maneuvering target tracking problem and the simulation results are presented, which validates the usefulness of the developed scheme.
UR - http://www.scopus.com/inward/record.url?scp=85098242506&partnerID=8YFLogxK
U2 - 10.1109/CoDIT49905.2020.9263908
DO - 10.1109/CoDIT49905.2020.9263908
M3 - Conference contribution
AN - SCOPUS:85098242506
T3 - 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
SP - 1099
EP - 1104
BT - 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 June 2020 through 2 July 2020
ER -