An improved sampled-data control for a nonlinear dynamic positioning ship with Takagi-Sugeno fuzzy model

Autor: Minjie Zheng, Yulai Su, Guoquan Chen
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Mathematical Biosciences and Engineering, Vol 21, Iss 5, Pp 6019-6041 (2024)
Druh dokumentu: article
ISSN: 1551-0018
DOI: 10.3934/mbe.2024265?viewType=HTML
Popis: This article considered the sampled-data control issue for a dynamic positioning ship (DPS) with the Takagi-Sugeno (T-S) fuzzy model. By introducing new useful terms such as second-order term of time, an improved Lyapunov-Krasovskii function (LKF) was constructed. Additionally, the reciprocally convex method is introduced to bound the derivative of LKF. According to the constructed LKF, the sampling information during the whole sampling period was fully utilized, and less conservatism was obtained. Then, the stability condition, robust performance, mode uncertainty and sampled-data controller design were analyzed by means of the linear matrix inequality (LMI). Finally, an example was given to demonstrate the effectiveness of the proposed method.
Databáze: Directory of Open Access Journals