Distributed filtering for nonlinear time-varying systems with Byzantine attacks and innovation constraints: A FlexRay scheduling mechanism
Year: 2025
Type: article
Abstract: This paper focuses on the distributed filtering problem for a special type of time-varying systems undergoing stochastic nonlinearities, Byzantine attacks and innovation constraints within the finite-horizon l 2 - l ∞ framework. Taking into account limited network resources, a FlexRay scheduling mechanism incorporating the Round-Robin and weighted try-once-discard protocols is deployed to orchestrate transmission behaviors between sensors and remote filters. A Byzantine attack model is introduced with which the Byzantine nodes falsify the measurements by injecting certain perturbations before sharing them with neighboring nodes. The main purpose of this study is to design a distributed filter for the considered system model such that a finite-horizon l 2 - l ∞ performance is satisfied for the filtering error dynamics. By applying the stochastic analysis method, a sufficient condition is firstly derived to guarantee the existence of desired distributed filter that ensures the prescribed performance index, following which proper filter parameters are designed by solving a set of matrix inequalities. Subsequently, a recursive distributed filtering algorithm is presented, which is friendly for online implementation. Finally, a numerical example is carried out to illustrate the validity of the obtained theoretical results.
Source: ISA Transactions
Authors: Xueyang Meng, Yun Chen, Jianjun Bai, Yunfei Guo
Institution: Hangzhou Dianzi University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,150
OpenAlex ID: W4409416123