A novel intermittent sliding mode control approach to finite-time synchronization of complex-valued neural networks

Meng Hui, Jiahuang Zhang, Herbert Ho Ching Iu, Rui Yao, Lin Bai

Research output: Contribution to journalArticlepeer-review

Abstract

In this work, the issue of finite-time synchronization is discussed for complex-valued neural networks (CVNNs) by applying aperiodically intermittent sliding mode control and a non-separation approach. Firstly, to simplify the theoretical analysis process, some new differential inequalities are established, and new estimated time rules are given. Secondly, to avoid the traditional approach of separating CVNNs, a novel complex-valued aperiodically intermittent sliding mode control strategy is designed, which has never been applied to achieve CVNNs synchronization. Furthermore, by adopting the newly established lemmas, novel controllers and Lyapunov functional, some novel finite-time synchronization criteria of CVNNs are acquired. At last, the validity of the resulting conclusions is indicated by some numerical examples.
Original languageEnglish
Pages (from-to)181-193
Number of pages13
JournalNeurocomputing
Volume513
DOIs
Publication statusPublished - 7 Nov 2022

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