期刊
NEUROCOMPUTING
卷 207, 期 -, 页码 700-707出版社
ELSEVIER
DOI: 10.1016/j.neucom.2016.05.056
关键词
Neural networks; Mixed delay; Actuator constraints; Missing data; Synchronization
资金
- National Natural Science Foundation of China [61433001, 61403113, 61333005, U1509203]
- Zhejiang Provincial Natural Science Foundation of China [LQ14F030010]
This paper investigates the problem of exponential synchronizatiori of discrete-time neural networks with mixed time delays, actuator saturation.and failures. Meanwhile, the unreliable communication links are considered between the neural networks, and such unreliable links are modeled as stochastic missing data satisfying Bernoulli distributions. In order to show the relationships between actuator constraints, unreliable communication link and mixed delay neural networks, by using Lyapunov functional approach, a missing data probability dependent exponential synchronization criterion is given. Then, based on such criterion, a reliable controller is designed to ensure that the neural networks are exponentially synchronized in the mean square. Finally, a numerical example is provided to illustrate the effectiveness' of the proposed approach. (C) 2016 Elsevier'B.V. All rights reserved.
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