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Journal of Control Science and Engineering
Volume 2018 (2018), Article ID 5205698, 8 pages
https://doi.org/10.1155/2018/5205698
Research Article

Time-Varying Fault Diagnosis for Asynchronous Multisensor Systems Based on Augmented IMM and Strong Tracking Filtering

1School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
2Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China

Correspondence should be addressed to Kaixiang Peng; nc.ude.btsu@gnaixiak

Received 29 June 2017; Accepted 12 November 2017; Published 2 January 2018

Academic Editor: Chunhui Zhao

Copyright © 2018 Yanyan Hu 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

Yanyan Hu, Xiaoling Xue, Zengwang Jin, and Kaixiang Peng, “Time-Varying Fault Diagnosis for Asynchronous Multisensor Systems Based on Augmented IMM and Strong Tracking Filtering,” Journal of Control Science and Engineering, vol. 2018, Article ID 5205698, 8 pages, 2018. doi:10.1155/2018/5205698