Global robust stability for stochastic interval neural networks with continuously distributed delays of neutral type (Q961635)

Consider stochastic interval neural networks with distributed delays of neutral type equation: \[ \begin{multlined} d[x(t) - Dx(t-\mu (t))] =\\ \bigg [ -Ax(t) +W^{(1)}f(x(t)) + W^{(2)}f(x(t-\tau(t)))+ W^{(3)}\int_{-\infty}^t K(t-s)f(x(s))ds \bigg ] dt \\+ \sigma(t,x(t),x(t-\tau(t)), x(t-\mu(t)))d\omega(t).\end{multlined} \] The author studies stochastic stability for interval neural networks with continuously distributed delays of neutral type. Using a Lyapunov-Krasovskii functional and LMI technique, the author obtains sufficient conditions for global robust stability. Obtained results are demonstrated by using the MATLAB LMI control toolbox.