Synchronization control of neutral-type neural networks with sampled-data via adaptive event-triggered communication scheme

This paper addresses the problem of synchronization control of neutral-type neural networks with sampled-data, where sampled data will be over a communication network before received by controller. Generally, the communication network is with a bandwidth-limited communication channel. To reduce netw...

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Bibliographic Details
Published inJournal of the Franklin Institute Vol. 358; no. 3; pp. 1999 - 2014
Main Authors Zhang, He, Ma, Qian, Lu, Junwei, Chu, Yuming, Li, Yongmin
Format Journal Article
LanguageEnglish
Published Elmsford Elsevier Ltd 01.02.2021
Elsevier Science Ltd
Subjects
Adaptive control
Adaptive sampling
Bandwidths
Communications networks
Controllers
Neural networks
Numerical analysis
Synchronism
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Summary:This paper addresses the problem of synchronization control of neutral-type neural networks with sampled-data, where sampled data will be over a communication network before received by controller. Generally, the communication network is with a bandwidth-limited communication channel. To reduce network burden, an event-triggered scheme is designed between the sampler and communication network. A weak synchronization conditions are derived by using our proposed integral inequality. Finally, a numerical example is given to illustrate the effectiveness and advantage of the proposed results.
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content type line 14
ISSN:0016-0032
1879-2693
0016-0032
DOI:10.1016/j.jfranklin.2021.01.005