A Novel Criterion for Global Asymptotic Stability of Neutral-Type Neural Networks with Discrete Time Delays
The main target in this work is to propose a new condition for global asymptotic stability for neutral-type neural networks including constant delay parameters. This newly obtained criterion is derived by making the use a properly modified Lyapunov functional with the employment of Lipschitz activation functions, which establishes a new set of relationships among the constant system parameters of this class of neural networks. The obtained condition is expressed independently of delay parameters and can be easily approved by simply checking the validity of some algebraic equations.
KeywordsDiscrete time delays Stability theory Neutral-type neural systems Lyapunov theorems
- 6.Orman, Z., Arik, S.: An analysis of stability of a class of neutral-type neural networks with discrete time delays. Abstr. Appl. Anal. (2013). Article ID 143585Google Scholar