Asymptotic stability of transiently chaotic neural networks

作者：Zhang Q^*; Wei XP; Xu J

来源：Nonlinear Dynamics, 2005, 42(4): 339-346.

DOI：10.1007/s11071-005-5726-z

• asymptotic stability
• LaSalle'
• s invariance principle
• Lyapunov function
• transiently chaotic neural networks

The asymptotic stability of transiently chaotic neural networks is considered in this paper. By utilizing a Lyapunov function and then applying LaSalle';s invariance principle, we present several sufficient conditions that guarantee the stability. These results are less conservative than those established in the earlier references. Two numerical examples are given to illustrate the applicability of these conditions.

• 出版日期2005-12
• 单位大连理工大学