Delayed Impulsive Control for Lag Synchronization of Neural Networks with Time-Varying Delays and Partial Unmeasured States
Jiarui Ye,
Jin-E Zhang and
Guoguang Wen
Discrete Dynamics in Nature and Society, 2022, vol. 2022, 1-11
Abstract:
In this article, a controller with delay impulse is applied to a neural network (NN) with time-varying delays. Firstly, the lag synchronization of the system is discussed. In addition, a sufficient condition for guaranteed lag synchronization requiring all state information is derived by using linear matrix inequality (LMI). In particular, the main results of neural networks (NNs) with time-varying delays and partial unmeasured states are studied by using the delay impulsive control gain matrix derived from dimension expansion. Finally, we will give two examples, both of which can confirm the validity of the results.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/ddns/2022/9308923.pdf (application/pdf)
http://downloads.hindawi.com/journals/ddns/2022/9308923.xml (application/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:9308923
DOI: 10.1155/2022/9308923
Access Statistics for this article
More articles in Discrete Dynamics in Nature and Society from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().