期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS
卷 21, 期 7, 页码 1126-1139出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2010.2048925
关键词
Cellular neural networks (CNNs); complete stability; delay-independent/delay-dependent criterion; M-matrix; time-delay
类别
资金
- National Natural Science Foundation of China [60864002]
- Australian Research Council
- University of Western Sydney, Sydney, NSW, Australia
This paper presents new complete stability results for delayed cellular neural networks (DCNNs). A novel method is proposed for complete stability analysis of DCNNs. By applying the M-matrix theory and introducing some new estimation techniques on the solutions of DCNNs, a simple and improved complete stability criterion is derived. The new criterion unifies the delay-dependent and delay-independent complete stability conditions for DCNNs. Moreover, the obtained delay-dependent criterion can give a larger upper bound of the time delay than the existing ones such that the complete stability can still be retained. Numerical examples are presented which show that the new complete stability results for DCNNs are compared favorably with the existing results.
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