@inproceedings{fafd8cd9d71c436f829547156c36ff90,
title = "Faster convergence rate of sampled-data systems with artificially designed optimal time delay parameter",
abstract = "In this paper, a newscheme to improve the performance of linear sampleddata systems is investigated by considering the time delay as a new control parameter, and the corresponding algorithm to determine the optimal parameter has been proposed based on the discrete-time approach. To clearly illustrate the proposed conclusions, the sampled-data system with time delay has been transformed into an augmented discrete-time system, which has been proven to be equivalent in terms of stability. Furthermore, a natural stability criterion based on the discrete-time system has been derived, enabling accurate computation of the maximum allowable sampling period for the systems under consideration. Additionally, an optimal time delay parameter solution algorithm has been proposed. Finally, two numerical examples are presented to certify the effectiveness and superiority of our theoretical results.",
keywords = "Discrete-time approach, Optimal time delay, Sampled-data system, Stability",
author = "Wenwen Li and Jianqiang Liang and Mingxing Li",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.; 19th Chinese Intelligent Systems Conference, CISC 2023 ; Conference date: 14-10-2023 Through 15-10-2023",
year = "2023",
doi = "10.1007/978-981-99-6882-4\_26",
language = "英语",
isbn = "9789819968817",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "321--333",
editor = "Yingmin Jia and Weicun Zhang and Yongling Fu and Jiqiang Wang",
booktitle = "Proceedings of 2023 Chinese Intelligent Systems Conference - Volume II",
address = "德国",
}