Probability-Guaranteed Distributed Filtering for Nonlinear Systems With Innovation Constraints Over Sensor Networks
Summary. This paper develops a distributed filtering algorithm for nonlinear systems across sensor networks. The method uses innovation constraints with adaptive thresholds to handle abnormal data during transmission. The algorithm keeps estimation errors within specified bounds with guaranteed probability while meeting disturbance attenuation requirements. The authors derive conditions for the filter's existence and provide optimization methods to find optimal filtering parameters.
Cite this article
Ma, L., Wang, Z., Chen, Y., & Yi, X.. (2021). Probability-Guaranteed Distributed Filtering for Nonlinear Systems With Innovation Constraints Over Sensor Networks. IEEE Transactions on Control of Network Systems. https://doi.org/10.1109/tcns.2021.3049361
Ma, Lifeng, et al. “Probability-Guaranteed Distributed Filtering for Nonlinear Systems With Innovation Constraints Over Sensor Networks.” IEEE Transactions on Control of Network Systems, 2021. https://doi.org/10.1109/tcns.2021.3049361.
Ma, Lifeng, Zidong Wang, Yun Chen, and Xiaojian Yi. 2021. “Probability-Guaranteed Distributed Filtering for Nonlinear Systems With Innovation Constraints Over Sensor Networks.” IEEE Transactions on Control of Network Systems. https://doi.org/10.1109/tcns.2021.3049361.
@article{ma-2021-probability-guaranteed-distributed-filtering-nonlinear,
title = {Probability-Guaranteed Distributed Filtering for Nonlinear Systems With Innovation Constraints Over Sensor Networks},
author = {Lifeng Ma and Zidong Wang and Yun Chen and Xiaojian Yi},
journal = {IEEE Transactions on Control of Network Systems},
year = {2021},
doi = {10.1109/tcns.2021.3049361},
url = {https://doi.org/10.1109/tcns.2021.3049361}
}
TY - JOUR TI - Probability-Guaranteed Distributed Filtering for Nonlinear Systems With Innovation Constraints Over Sensor Networks AU - Lifeng Ma AU - Zidong Wang AU - Yun Chen AU - Xiaojian Yi JO - IEEE Transactions on Control of Network Systems PY - 2021 DO - 10.1109/tcns.2021.3049361 UR - https://doi.org/10.1109/tcns.2021.3049361 ER -
Details
- DOI
- 10.1109/tcns.2021.3049361
- Countries
- China, United Kingdom
- Regions
- Asia, Europe
- Categories
- innovation-networks, general-innovation
- Added
- 2026-04-28