A delay-decomposition approach for stability of neural network with time-varying delay

This paper studies delay-dependent asymptotical stabilityproblems for the neural system with time-varying delay. By dividing thewhole interval into multiple segments such that each segment has adifferent Lyapunov matrix, some improved delay-dependent stabilityconditions are derived by employing an integral equality technique. Anumerical example is given to demonstrate the effectiveness andless conservativeness of the proposed methods.