@inproceedings{fffd8bcd8f184a9ca2b0dee536c87e47,
title = "Sampled-data MFAC for high-order nonlinear systems",
abstract = "This paper presents a sampled-data control algorithm for high-order nonlinear systems. It develops a discrete-time transformation method that converts the N -order nonlinear system into an equivalent error system, where the errors take a backstepping-like form. This method is then used to design a model-free adaptive controller with uniformly bounded parameters under a sufficiently small sampling period. The stability of the closed-loop system is analyzed by constructing a novel Lyapunov function. Finally, several numerical examples are provided to illustrate the effectiveness and efficiency of the proposed methods.",
keywords = "Data-driven control, model-free adaptive control, nonlinear systems, sampled-data control",
author = "Zhenbang Zhao and Hao Yu",
note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 15th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2026 ; Conference date: 08-05-2026 Through 11-05-2026",
year = "2026",
doi = "10.1109/DDCLS71227.2026.11610494",
language = "English",
series = "Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "603--608",
editor = "Mingxuan Sun and Ronghu Chi",
booktitle = "Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026",
address = "United States",
}