Delay-Dependent Exponential Stability Of Neutral Neural Networks With Interval Time-Varying Delay

This paper presents a global stability criteria of neural networks with neutral-type time-varying delay. By constructing a new Lyapunov-Krasovskii function, where not only upper bound, but also lower bound of time delay is included, some less conservative delay-dependent exponential stability criteria is obtained by employing new technique of dealing with some integral terms. Numerical examples are presented to demonstrate the effectiveness and improvement of our results.