@inproceedings{ace1f35f6d784fd7af2f4cdb235c4336,
title = "Data-Driven Adaptive Control for a Class of Nonlinear MIMO Systems with Input Saturation",
abstract = "This paper addresses the data-driven adaptive control problem for a class of nonlinear multi-input multi-output (MIMO) systems with input saturation. Based on the compact form dynamic linearation technique, nonlinear MIMO systems with input saturation is firstly transformed into the linear data model. Meanwhile, an online estimation algorithm is designed for the time-varying parameter, and then a data-driven adaptive control method is presented to stabilize the unknown nonlinear MIMO systems. We also analyze the influence of input saturation on the performance of nonlinear MIMO systems. Moreover, the convergence and boundedness of the resulting closed-loop system are analyzed, and the corresponding explicit conditions are derived. Finally, the effectiveness of proposed results are verified by an example and simulation.",
keywords = "adaptive control, data-driven control, input saturation, nonlinear systems, stability",
author = "Zhichuang Wang and Wei He and Gang Wang and Jian Sun",
note = "Publisher Copyright: {\textcopyright} 2022 ACA.; 13th Asian Control Conference, ASCC 2022 ; Conference date: 04-05-2022 Through 07-05-2022",
year = "2022",
doi = "10.23919/ASCC56756.2022.9828240",
language = "English",
series = "ASCC 2022 - 2022 13th Asian Control Conference, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2163--2168",
booktitle = "ASCC 2022 - 2022 13th Asian Control Conference, Proceedings",
address = "United States",
}