Author
Contributions by role
Author 1
Yao Zhang
School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Summary
Yao Zhang received her B.E. degree in Automation from Beijing Technology and Business University, China, in 2022. She is currently pursuing her M.E. degree in Control Theory and Control Engineering at the same university. Her research interests include pattern recognition, prediction, deep learning, and related areas.
Edited Journals
IECE Contributions

Free Access | Research Article | 30 April 2025
Parameter Estimation for the Tuned Liquid Damper Model Based on Robust Extended Kalman Filter
IECE Transactions on Sensing, Communication, and Control | Volume 2, Issue 2: 75-84, 2025 | DOI: 10.62762/TSCC.2025.663633
Abstract
The Tuned Liquid Damper (TLD) method offers a practical and cost-effective solution for seismic design. Accurate modeling of the TLD system’s dynamic behavior is crucial for optimizing its performance. In this study, the nonlinear dynamics of the TLD system are characterized using the Housner model, with parameters estimated via a nonlinear state estimation approach. To address challenges associated with model discretization and unknown noise processes, we introduce a Robust Extended Kalman Filter (REKF) that incrementally incorporates uncertainties to more accurately capture system dynamics. The proposed method is evaluated through real-time hybrid simulation, employing seismic input sign... More >

Graphical Abstract
Parameter Estimation for the Tuned Liquid Damper Model Based on Robust Extended Kalman Filter