A domain attraction criterion for interval fuzzy neural networks

Authors:
Tingwen Huang;Chuandong Li;Zhigang Zeng
Affiliations:
Texas A&M University at Qatar, Doha, P. O. Box 5825, Qatar;Department of Computer Science and Engineering, Chongqing University, Chongqing, 400030, China;Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
Venue:
Computers & Mathematics with Applications
Year:
2009

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Abstract

In this paper, we study qualitative properties of equilibrium points in a class of interval fuzzy neural networks, and obtain an estimate on the domain of robust attraction of locally exponentially stable equilibrium points. Both the conditions and the estimate are formulated in terms of the parameter intervals, so they are easily verifiable. The result can be used for the evaluation of fault-tolerance capability for interval fuzzy neural networks.