研究了离散时间神经网络的全局指数稳定性问题。
In this paper, the global exponential stability of discrete-time neural networks is discussed.
并且由此定理获得该类网络全局指数稳定的几个判据。
Some new criteria on globally exponential stability of the networks are obtained.
讨论了一类具有有界可变时滞分离变量系统平衡点的全局指数稳定性。
The global exponential stability of equilibrium states of a class of nonlinear separated variables systems with bounded time-varying delays was investigated.
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