期刊
FUZZY SETS AND SYSTEMS
卷 217, 期 -, 页码 62-79出版社
ELSEVIER
DOI: 10.1016/j.fss.2012.11.009
关键词
Discrete-time fuzzy BAM neural networks; Impulses; Global exponential stability; Equilibrium point
资金
- National Natural Sciences Foundation of People's Republic of China [10971183]
In this paper, we study a class of discrete-time fuzzy BAM neural networks with variable delays and impulses. Based on M-matrix theory and analytic methods, some sufficient conditions are established for the existence and global exponential stability of a unique equilibrium. Moreover, the exponential convergence rate index is estimated. A numerical example is given to show the effectiveness of the obtained results. In particular, the simulation figures establish that fuzzy systems do have more advantages than non-fuzzy systems. (C) 2012 Elsevier B.V. All rights reserved.
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