It is known that backpropagation network is always used to modeling. This study is concerned with the stability problem of a neural network (NN) system which consists of a few subsystems represented by NN models. In this paper, the dynamics of each NN model is converted into linear inclusion representation. Subsequently, based on the representations, the stability conditions in terms of Lyapunov's direct method is derived to guarantee the asymptotic stability of NN systems.
|Number of pages
|Proceedings of the International Conference on Tools with Artificial Intelligence
|Published - 2002
|14th International Conference on Tools with Artificial Intelligence - Washington, DC, United States
Duration: 4 Jun 2002 → 6 Nov 2002
- Lyapunov theory
- Neural network