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Consider of a class of neural networks of neutral type which have time-varying delay and parametric uncertainties, A sufficient condition is given to provide the uniqueness and exponential stability of the equilibrium point for this system by constructing a Lyapunov function, this method is independent of the amplitude of time delays and it doesn't have to assume the boundness, strict monotonicity...
This paper is concerned with exponential stability of a class of single-tool cutting systems, which is described as a Markovian jump system with state time-varying delays. A sufficient condition for the exponential stability in mean-square is proposed based on the Lyapunov functional method. We also obtain the influence of delay parameters on exponential decreasing rate of the states. A numerical...
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