Finite-time synchronization of memristive neural networks with parameter uncertainties via aperiodically intermittent adjustment

Shuai Zhang, Yongqing Yang, Xin Sui and Xianyu Xu

Physica A: Statistical Mechanics and its Applications, 2019, vol. 534, issue C

Abstract: This paper is concerned with finite-time synchronization of memristive neural networks with parameter uncertainties by using aperiodically intermittent strategy. Based on the existed finite-time theory of intermittent strategy, a finite-time aperiodically intermittent stability lemma is proposed. In the sense of Filippov’s framework, an appropriate Lyapunov functional is constructed to realize the finite-time synchronization by designing a appropriate aperiodically intermittent controller. The derived sufficient conditions can effectively eliminate the influence of parameter uncertainties and make the systems achieve finite-time synchronization. Finally, a numerical simulation example is given to demonstrate the validity of the sufficient conditions.

Keywords: Finite-time; Synchronization; Memristive neural network; Parameter uncertainties; Aperiodically intermittent (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119313068

DOI: 10.1016/j.physa.2019.122258

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