Input-to-state stability (ISS) analysis for dynamic neural networks

Edgar N. Sánchez, José P. Pérez

Proceedings of International Conference on Neural Networks (ICNN'97) · 2002 · 262 citations · 18 references

Concepts

Abstract

This paper presents the input-to-state (ISS) analysis for dynamic neural networks. We determine, using a Lyapunov function, conditions to guarantee ISS; they also guarantee globally asymptotically stability.

References

18