Input-to-state stability (ISS) analysis for dynamic neural networks 论文
2002Proceedings of International Conference on Neural Networks (ICNN'97)引用 262
Neural Networks and ApplicationsAdaptive Control of Nonlinear SystemsNeural Networks Stability and Synchronization
摘要
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.