Distributed Fuzzy Extended Kalman Filter for Multiagent Systems
- Resource Type
- Article
- Authors
- Xiaobo Zhang; Haoshen Lin; Gang Liu; Bing He
- Source
- International Journal of Control, Automation, and Systems, 21(5), pp.1692-1703 May, 2023
- Subject
- 제어계측공학
- Language
- English
- ISSN
- 2005-4092
1598-6446
In this study, a novel distributed Kalman filter based on a possibilistic framework was proposed to mitigate fuzzy noisein nonlinear multiagent systems. To describe fuzzy uncertainty, noises were modeled as fuzzy random variables with trapezoidal probability distributions instead of Gaussian distributions. A fuzzy information fusion (FIF) algorithm was proposed to fuse fuzzy state estimations from neighboring nodes. The nonlinear problem was solved by using local linearization. A distributed extended fuzzy information filter was designed by combining the FIF algorithm and local linearization in distributed sensor networks. The stability of this filter was analyzed. Finally, a target tracking simulation was performed to detail the effectiveness of the proposed filter algorithm.