Chai Wah Wu, Gerhard Thompson, et al.
IEEE SPL
We present some new global stability results of neural networks with delay and show that these results generalize recently published stability results. In particular, several different stability conditions in the literature which were proved using different Lyapunov functionals are generalized and unified by proving them using the same Lyapunov functional. We also show that under certain conditions, reversing the directions of the coupling between neurons preserves the global asymptotical stability of the neural network. © 2005, The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
Chai Wah Wu, Gerhard Thompson, et al.
IEEE SPL
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MAMA/Greenmetrics 2016
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International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
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AISTATS 2024