TY - JOUR
T1 - IMM approach to state estimation for systems with delayed measurements
AU - Tou, Runze
AU - Zhang, Jinhui
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2016.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - This study investigates state estimation problem for systems with delayed measurements, which is often encountered in networked control systems. The measurement transmission delay is modelled as Markov chain. By using the state augmentation technique, the system with delayed measurements is converted into a special multiple model system, then the interacting multiple model algorithm is applied to estimate the system states. Finally, the simulation results demonstrate the effectiveness of the proposed methods.
AB - This study investigates state estimation problem for systems with delayed measurements, which is often encountered in networked control systems. The measurement transmission delay is modelled as Markov chain. By using the state augmentation technique, the system with delayed measurements is converted into a special multiple model system, then the interacting multiple model algorithm is applied to estimate the system states. Finally, the simulation results demonstrate the effectiveness of the proposed methods.
UR - http://www.scopus.com/inward/record.url?scp=84984863632&partnerID=8YFLogxK
U2 - 10.1049/iet-spr.2015.0345
DO - 10.1049/iet-spr.2015.0345
M3 - Article
AN - SCOPUS:84984863632
SN - 1751-9675
VL - 10
SP - 752
EP - 757
JO - IET Signal Processing
JF - IET Signal Processing
IS - 7
ER -