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Computational Intelligence and Neuroscience
Volume 2015, Article ID 606734, 11 pages
http://dx.doi.org/10.1155/2015/606734
Research Article

A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System

1School of Control Science and Engineering, Shandong University, Jinan 250061, China
2School of Computer Science and Technology, Shandong University, Jinan 250101, China

Received 3 April 2015; Accepted 22 June 2015

Academic Editor: Michele Migliore

Copyright © 2015 Xianfeng Yuan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Xianfeng Yuan, Mumin Song, Fengyu Zhou, Zhumin Chen, and Yan Li, “A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System,” Computational Intelligence and Neuroscience, vol. 2015, Article ID 606734, 11 pages, 2015. https://doi.org/10.1155/2015/606734.