On hybrid consensus-based extended Kalman filtering with random link failures over sensor networks

Title:

On hybrid consensus-based extended Kalman filtering with random link failures over sensor networks

Creator:

Zhu, Pailiang , Wei, Guoliang , and Li, Jiajia

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:9e7a3b45-ce04-42a6-a12c-4e3da25f242b
uuid:9e7a3b45-ce04-42a6-a12c-4e3da25f242b
doi:10.14736/kyb-2020-1-0189

Subject:

extended Kalman filter, hybrid consensus filter, sensor network, distributed state estimation, and random link failure

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This paper is concerned with the distributed filtering problem for nonlinear time-varying systems over wireless sensor networks under random link failures. To achieve consensus estimation, each sensor node is allowed to communicate with its neighboring nodes according to a prescribed communication topology. Firstly, a new hybrid consensus-based filtering algorithm under random link failures, which affect the information exchange between sensors and are modeled by a set of independent Bernoulli processes, is designed via redefining the interaction weights. Second, a novel observability condition, called parameterized jointly uniform observability, is proposed to ensure the stochastic boundedness of the error covariances of the hybrid consensus-based filtering algorithm. Finally, an example is given to demonstrate the effectiveness of the derived theoretical results.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

189-212

Source:

Kybernetika | 2020 Volume:56 | Number:1

Harvested from:

CDK

Metadata only:

false