Title
Recursive Set-Membership State Estimation Over a FlexRay Network
Abstract
In this article, we investigate the set-membership state estimation problem for a class of time-varying systems with non-Gaussian noises over a FlexRay network. To mitigate the communication load and improve the flexibility of the data scheduling, the FlexRay protocol (FRP) governed by both the time-triggered and event-triggered rules is exploited to regulate the signal transmission in a cyclic fashion. A new expression of the input signal to the state estimator is formulated with intention to account for the effect of the FRP. Accordingly, a multirate model (orchestrating the sampling/updating rates of the target plant, sensors, and state estimator) is proposed and then transformed into a single-rate one with the help of the lifting technique and the vector augmentation method. Subsequently, sufficient conditions are provided for the true states to always reside in an ellipsoid at each time instant in the presence of the non-Gaussian noises, and such an ellipsoid is then minimized in the matrix-trace sense. An online optimization algorithm is developed to parameterize the estimator gains by means of the solution to certain recursive matrix inequalities. Numerical results demonstrate the validity of the proposed protocol-based set-membership state estimator design scheme.
Year
DOI
Venue
2022
10.1109/TSMC.2021.3071390
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Keywords
DocType
Volume
FlexRay network,multirate mechanism,non-Gaussian noises,set-membership state estimation (SMSE),time-varying systems
Journal
52
Issue
ISSN
Citations 
6
2168-2216
2
PageRank 
References 
Authors
0.36
28
4
Name
Order
Citations
PageRank
Shuai Liu120332.40
Zidong Wang211003578.11
Licheng Wang343455.07
Guoliang Wei4130971.09