@inproceedings{b13926dacbfc4cca8a6d802a9d144bee,
title = "Predefined-Time Adaptive Parameter Estimation for Nonlinear Systems",
abstract = "This paper examines a strategy for estimating parameters in nonlinear systems with unknown parameters, featuring predefined-time convergence. A new predefined-time stability criterion is proposed, offering a least upper bound on convergence time and enabling accurate calculation of actual convergence time. Additionally, the parameter estimation error is extracted using a specially designed auxiliary matrix. To mitigate the auxiliary matrix's impact on parameter estimation, an inverse matrix is developed. Consequently, a novel adaptive law with a predefined-time convergence characteristic is formulated to guarantee zero convergence of parameter errors within a predefined-time.",
keywords = "Parameter estimation, nonlinear systems, predefined-time convergence",
author = "Jiangchao Song and Xuemei Ren and Jing Na and Dongdong Zheng",
note = "Publisher Copyright: {\textcopyright} 2024 Technical Committee on Control Theory, Chinese Association of Automation.; 43rd Chinese Control Conference, CCC 2024 ; Conference date: 28-07-2024 Through 31-07-2024",
year = "2024",
doi = "10.23919/CCC63176.2024.10662550",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "1354--1359",
editor = "Jing Na and Jian Sun",
booktitle = "Proceedings of the 43rd Chinese Control Conference, CCC 2024",
address = "United States",
}