Absolute Exponential Stability of a Class of Neural Networks

@inproceedings{Sun2002AbsoluteES,
  title={Absolute Exponential Stability of a Class of Neural Networks},
  author={Changyin Sun and Shumin Fei and KanJian Zhang and Jinde Cao and Chun-Bo Feng},
  year={2002}
}
This paper investigates the absolute exponential stability (AEST) of a class of neural networks with a general class of partially Lipschitz continuous and monotone increasing activation functions. The main obtained result is that if the interconnection matrix T of the neural system satisfies that T − is an H -matrix with nonnegative diagonal elements, then the neural system is AEST.