Work

Sequential fusion estimation for nonlinear systems under deceptive attacks

Year: 2024

Type: article

Abstract: This article deals with sequential fusion estimation for nonlinear systems under deceptive attacks, which may happen during transmissions of measurements and system states over communication networks. The estimator is developed by incorporating measurement fusion and local estimate fusion with attack detection. Moreover, a compensation strategy is designed to mitigate the impact of deceptive attacks on performance degradation. The proposed method may preserve the data integrity for accurate state estimation with deceptive attacks. Numerical simulation with the target tracking systems verifies the effectiveness of the proposed method.

Source: Asian Journal of Control

DOI: 10.1002/asjc.3559

Authors: Shu Yin, Kelei Miao, Li Yu

Institutions: Zhejiang University of Technology, Zhejiang Shuren University

Language: English

Topic: Target Tracking and Data Fusion in Sensor Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Natural Science Foundation of China

Awards: G5594970661, G5949780592