@inproceedings{165caed532db45d3975d1309f8c10e21,
title = "State Estimation for the Absorption Column of PCC Plants Using the Extended Kalman Filtering",
abstract = "Post-combustion CO2 capture (PCC) plants stand as pivotal technologies for mitigating carbon emissions. The estimation and control of PCC pose significant challenges due to the large-scale and intricate nonlinear dynamics of the plants. This study focuses on state estimation for the absorption column of a typical PCC plant, where the column is discretized along its axial position. An extended Kalman filtering is designed to estimate the state across the entire column. Comprehensive simulation results illustrate the effectiveness of the proposed method.",
keywords = "extended Kalman filtering, post-combustion carbon capture plant, state estimation",
author = "Siyu Liu and Yonghua Jiang and Xiao Zhang and Feiyan Chen",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 16th International Conference on Modelling, Identification and Control, ICMIC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-1777-7_24",
language = "English",
isbn = "9789819617760",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "209--215",
editor = "Qiang Chen and Tingli Su and Peng Liu and Weicun Zhang",
booktitle = "Proceedings of the 16th International Conference on Modelling, Identification and Control, ICMIC 2024",
}