Some stability properties of dynamic neural networks

In this paper, the passivity-based approach is used to derive a tuning algorithm for a class of dynamic neural networks. Several stability properties, such as passivity, asymptotic stability, input-to-state stability and bounded input-bounded output stability, are guaranteed in certain senses.