Journal
NEUROCOMPUTING
Volume 175, Issue -, Pages 579-584Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2015.10.098
Keywords
Interval type-2 (IT2) fuzzy systems; Neural network; Dissipativity analysis; Leakage and time-varying delays
Categories
Funding
- Natural Science Foundation of China [61503036, 61503037]
Ask authors/readers for more resources
This paper investigates the problem of dissipativity analysis for discrete-time fuzzy neural network with parameter uncertainties based on interval type-2 (IT2) fuzzy model. The parameter uncertainties are handled via the lower and upper membership functions. The original sufficient conditions are presented by a set of linear matrix inequalities (LMIs) to guarantee the dissipativity of the resulting system. The main contribution of this paper is that the discrete-time form of the IT2 T-S fuzzy neural network with leakage and time-varying delays is first proposed. Finally, a numerical example is provided to testify the effectiveness of the proposed results. (C) 2015 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available