On aperiodic event-triggered master-slave synchronization of chaotic Lur'e systems

Yueying Wang, Yanzheng Zhu, Yingxin Zhu

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

This paper is concerned with master-slave synchronization for chaotic Lur'e systems subject to aperiodic sampled-data. To reduce the communication burden, an aperiodic event-triggered (APET) transmission scheme is introduced to determine the transmission of the latest sampling synchronization data. In order to reduce the design conservatism, a novel time-dependent Lyapunov functional (TDLF) is constructed to fully use the characteristics about sampling behavior, triggering error, and nonlinear part of the system, simultaneously. A more relaxed constraint criterion is then presented to ensure the positivity of the whole functional between two sampling instants. By partially resorting to the TDLF, the APET-based synchronization criterion depending on the upper and lower bounds of the uncertain sampling period is presented. The synchronization criterion based on aperiodic-sampling mechanism is also provided. Finally, a typical example about neural networks is offered to illustrate the benefit and validity of obtained synchronization methodologies.
Original languageEnglish
Pages (from-to)10576-10592
Number of pages17
JournalJournal of the Franklin Institute
Volume356
Issue number17
DOIs
Publication statusPublished - 2019

Keywords

  • Lyapunov functions
  • synchronization

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