期刊
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
卷 9, 期 10, 页码 1675-1682出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s13042-017-0672-x
关键词
Fuzzy cellular neural network; Exponential convergence; Proportional delay
资金
- National Social Science Fund of China [15BJY122]
- Humanities and Social Sciences Foundation of Ministry of Education of P. R. China [12YJAZH173]
In this paper, we propose and study the global exponential convergence of a class of fuzzy cellular neural networks with multi-proportional delays, which has not been studied in the existing literature. Applying the differential inequality technique and Lyapunov functional method, we establish a set of global exponential convergence criteria. The sufficient criteria can be easily tested in practice by simple algebra computations. The obtained results play an important role in designing fuzzy neural networks. Moreover, an illustrative example is given to demonstrate our theoretical results.
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