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The Scientific World Journal
Volume 2014, Article ID 215943, 5 pages
Research Article

A Robust Nonlinear Observer for a Class of Neural Mass Models

Key Lab of Industrial Computer Control Engineering of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Received 12 November 2013; Accepted 31 January 2014; Published 20 March 2014

Academic Editors: G. Cheron and X. Fan

Copyright © 2014 Xian Liu 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.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • A. Zemouche, R. Rajamani, H. Trinh, and M. Zasadzinski, “A new LMI based H∞]]> observer design method for Lipschitz nonlinear systems,” 2016 European Control Conference (ECC), pp. 2011–2016, . View at Publisher · View at Google Scholar
  • Xian Liu, Dong-Kai Miao, Qing Gao, and Shi-Yun Xu, “A novel observer design method for neural mass models,” Chinese Physics B, vol. 24, no. 9, pp. 090207, 2015. View at Publisher · View at Google Scholar