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- Title
Asymptotic Stability of Transiently Chaotic Neural Networks.
- Authors
Qiang Zhang; Xiaopeng Wei; Jin Xu
- Abstract
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.
- Subjects
ARTIFICIAL neural networks; CHAOS theory; LYAPUNOV functions; LYAPUNOV stability; STABILITY (Mechanics); MATHEMATICAL models
- Publication
Nonlinear Dynamics, 2005, Vol 42, Issue 4, p339
- ISSN
0924-090X
- Publication type
Article
- DOI
10.1007/s11071-005-5726-z