Sampled-data synchronization control for chaotic neural networks subject to actuator saturation
In this paper, the sampled-data control is applied to synchronize chaotic neural networks subject to actuator saturation. By employing a time-dependent Lyapunov functional that captures the characteristic information of actual sampling pattern, we derive a local stability condition for the synchroni...
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Published in | Neurocomputing (Amsterdam) Vol. 260; pp. 25 - 31 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
18.10.2017
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Subjects | |
Online Access | Get full text |
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