TY - JOUR
T1 - On aperiodic event-triggered master-slave synchronization of chaotic Lur'e systems
AU - Wang, Yueying
AU - Zhu, Yanzheng
AU - Zhu, Yingxin
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Lyapunov functions
KW - synchronization
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:50824
U2 - 10.1016/j.jfranklin.2018.11.009
DO - 10.1016/j.jfranklin.2018.11.009
M3 - Article
SN - 0016-0032
VL - 356
SP - 10576
EP - 10592
JO - Journal of the Franklin Institute
JF - Journal of the Franklin Institute
IS - 17
ER -