@inproceedings{acf1c9524444429fa755c41015ea1044,
title = " Learning-based Adaptive Robust Control of Manipulated Pneumatic Artificial Muscle Driven by H 2 -based Metal Hydride ",
abstract = "Pneumatic artificial muscle(PAM) Hx-based metal hydride (MU) is considered a compact inherent soft actuator. To aim at a high-performance manipulated-PAM based MU actuator, the bottleneck of improving the performance lies in the parametric and nonlinear uncertainties occurred by an unpredictable environment in addition to an inherent nonlinear dynamics of PAM and a large scale dimension of MU. We develop the parameter-based adaptive robust control framework to cope the various operations, where a data-driven learning-based approach is dealt with the parameter adaptation. The effectiveness of our proposed approach is demonstrated through extensive experiments in terms of position and tracking control.",
author = "Kelin Li and Thanana Nuchkrua and Huan Zhao and Ye Yuan and Sudchai Boonto",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; null ; Conference date: 20-08-2018 Through 24-08-2018",
year = "2018",
month = dec,
day = "4",
doi = "10.1109/COASE.2018.8560584",
language = "英语",
series = "IEEE International Conference on Automation Science and Engineering",
publisher = "IEEE Computer Society",
pages = "1284--1289",
booktitle = "2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018",
address = "United States",
}