@inproceedings{1f8fb0c564dc4391b360d9c25a46117a,
title = "Stochastic Event-Triggered Filtering for Nonlinear Systems Subject to Correlated Noises",
abstract = "In this paper, the event-triggered filtering problem is investigated for the nonlinear systems subject to correlated noises. The stochastic event-triggered communication strategy is adopted herein to avert the frequent information exchange and hence mitigate the network communication burden while retaining the Gaussianity of innovation process. In order to handle the correlated characteristic of the process and the measurement noises, an alternative assumption that the two-step predicted estimate satisfies Gaussian distribution is made. In the simulation, the usefulness of the developed algorithms is illustrated by two examples.",
keywords = "Correlated noises, Nonlinear filtering, Stochastic event-triggered mechanism, Unscented Kalman filtering",
author = "Weihao Song and Yuhua Qi and Jianan Wang and Xiaoxu Wang and Jiayuan Shan",
note = "Publisher Copyright: {\textcopyright} 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2022",
doi = "10.1007/978-981-15-8155-7_393",
language = "English",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "4757--4768",
editor = "Liang Yan and Haibin Duan and Xiang Yu",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020",
address = "Germany",
}