Robust H-stability of Hopfield neural networks with impulsive effects and design of impulsive controllers
Bin Liu · Control theory & applications · 2003
This paper studies the robust H stability (e.g. in the sense of Hopfield) for Hopfield neural networks (HNN for short) with impulsive effects. By employing the method of Lyapunov functions and Riccati inequality, some sufficient conditions for robust H stability and robustly asymptotical H stability are established. On the basis of these results, the author also designs some impulsive controllers to stabilize HNN. Finally, one illustrative example is given.