Open AccessIMM approach to state estimation for systems with delayed measurements
Author(s) -
Tou Runze,
Zhang Jinhui
Publication year - 2016
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2015.0345
Subject(s) - estimation , computer science , state (computer science) , algorithm , artificial intelligence , engineering , systems engineering
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.