Journal
IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume 22, Issue 5, Pages 806-812Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2011.2111383
Keywords
Delay-dependent; neural networks; stability; time-varying delay
Categories
Funding
- National Natural Science Foundation of China [60974026]
- Doctor Subject Foundation of China [200805330004]
- National Science Fund for Distinguished Youth Scholars of Hunan Province [08JJ1010]
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This paper is concerned with the problem of stability of neural networks with time-varying delays. A novel Lyapunov-Krasovskii functional decomposing the delays in all integral terms is proposed. By exploiting all possible information and considering independent upper bounds of the delay derivative in various delay intervals, some new generalized delay-dependent stability criteria are established, which are different from the existing ones and improve upon previous results. Numerical examples are finally given to demonstrate the effectiveness and the merits of the proposed method.
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