An LMI approach to asymptotical stability of multi-delayed neural networks
β Scribed by Xiaofeng Liao; Chuandong Li
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 221 KB
- Volume
- 200
- Category
- Article
- ISSN
- 0167-2789
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this paper, we consider the stochastic Cohen-Grossberg-type BAM neural networks with mixed delays. By utilizing the Lyapunov-Krasovskii functional and the linear matrix inequality (LMI) approach, some sufficient LMI-based conditions are obtained to guarantee the global asymptotic stability of sto
In this paper some novel approaches to the analysis of asymptotic stability of artificial neural networks with time-varying delay are presented. These approaches are based on the Lyapunov-Krasovskii stability theory for functional differential equations and the linear matrix inequality (LMI) techniq
This paper deals with the problem of global exponential stability for a general class of stochastic high-order neural networks with mixed time delays and Markovian jumping parameters. The mixed time delays under consideration comprise both discrete time-varying delays and distributed time-delays. Th