Journal
IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume 17, Issue 6, Pages 1646-1651Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2006.881488
Keywords
discrete delays; distributed delays; global asymptotical stability; linear matrix inequality (LMI); recurrent neural networks (RNNs); time-varying delays
Ask authors/readers for more resources
By employing the Lyapunov-Krasovskii functional and linear matrix inequality (LMI) approach, the problem of global asymptotical stability is studied for recurrent neural networks with both discrete time-varying delays and distributed time-varying delays. Some sufficient conditions are given for checking the global asymptotical stability of recurrent neural networks with mixed time-varying delay. The proposed LMI result is computationally efficient as it can be solved numerically using standard commercial software. Two examples are given to show the usefulness of the results.
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