@inbook{17a6b0a2c59a4b0aa109c9fdd6d1bd40,
title = "LMI-Based Robust Adaptive Neural Network Control for Euler-Bernoulli Beam with Unknown Parametric and Modeling Uncertainties",
abstract = "The boundary robust control is designed for the Euler-Bernoulli beam on the basis of radial basis function (RBF) neural networks based on the LMI technology. By solving the given LMIs, the feasible control gains can be achieved. Under the proposed control, the vibration of the Euler-Bernoulli beam can be restricted in the presence of parametric and system boundary uncertainties.",
author = "Xueyan Xing and Jinkun Liu",
note = "Publisher Copyright: {\textcopyright} 2021, Tsinghua University Press.",
year = "2021",
doi = "10.1007/978-981-16-1532-0\_3",
language = "英语",
series = "Springer Tracts in Mechanical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "27--51",
booktitle = "Springer Tracts in Mechanical Engineering",
address = "德国",
}