Globally Robust Stability Analysis for Stochastic Cohen–Grossberg Neural Networks with Impulse Control and Time-Varying Delays

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-v...

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Veröffentlicht in:	Ukrainian mathematical journal 2018, Vol.69 (8), p.1220-1233
1. Verfasser:	Guo, Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algebra Analysis Applications of Mathematics Artificial neural networks Control stability Functionals Geometry Mathematical analysis Mathematics Mathematics and Statistics Matrix methods Neural networks Stability analysis Statistics
Online-Zugang:	Volltext
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