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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 5640309, 9 pages
https://doi.org/10.1155/2017/5640309
Research Article

State Estimation for Sampled-Data Descriptor Nonlinear System: A Strong Tracking Unscented Kalman Filter Approach

1School of Astronautics, Harbin Institute of Technology, West Dazhi Street, Harbin 150001, China
2Changzhou Vocational Institute of Light Industry, Changzhou, China

Correspondence should be addressed to Tiantian Liang; moc.361@2211naitnaitgnail

Received 15 January 2017; Revised 15 May 2017; Accepted 15 June 2017; Published 8 August 2017

Academic Editor: Mohammad D. Aliyu

Copyright © 2017 Tiantian Liang 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

Tiantian Liang, Mao Wang, and Zhenhua Zhou, “State Estimation for Sampled-Data Descriptor Nonlinear System: A Strong Tracking Unscented Kalman Filter Approach,” Mathematical Problems in Engineering, vol. 2017, Article ID 5640309, 9 pages, 2017. doi:10.1155/2017/5640309