By constructing suitable Lyapunov functionals, in combination with the matrix-inequality technique, we establish a new simple sufficient linear matrix-inequality condition for the global robustly asymptotic stability of the stochastic Cohen–Grossberg… Click to show full abstract
By constructing suitable Lyapunov functionals, in combination with the matrix-inequality technique, we establish a new simple sufficient linear matrix-inequality condition for the global robustly asymptotic stability of the stochastic Cohen–Grossberg neural networks with impulsive control and time-varying delays. This condition contains and improves some previous results from the earlier references.
Keywords:
control time;
neural networks;
time varying;
grossberg neural;
cohen grossberg;
stochastic cohen
Journal Title: Ukrainian Mathematical Journal
Year Published: 2017
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Journal Title: Ukrainian Mathematical Journal
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!