Recursive Set-Membership State Estimation Over a FlexRay Network
نویسندگان
چکیده
In this article, we investigate the set-membership state estimation problem for a class of time-varying systems with non-Gaussian noises over FlexRay network. To mitigate communication load and improve flexibility data scheduling, protocol (FRP) governed by both time-triggered event-triggered rules is exploited to regulate signal transmission in cyclic fashion. A new expression input estimator formulated intention account effect FRP. Accordingly, multirate model (orchestrating sampling/updating rates target plant, sensors, estimator) proposed then transformed into single-rate one help lifting technique vector augmentation method. Subsequently, sufficient conditions are provided true states always reside an ellipsoid at each time instant presence noises, such minimized matrix-trace sense. An online optimization algorithm developed parameterize gains means solution certain recursive matrix inequalities. Numerical results demonstrate validity protocol-based design scheme.
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ژورنال
عنوان ژورنال: IEEE transactions on systems, man, and cybernetics
سال: 2022
ISSN: ['1083-4427', '1558-2426']
DOI: https://doi.org/10.1109/tsmc.2021.3071390