Paper Info
Title
Sampled-data synchronization of chaotic Lur'e systems via an adaptive event-triggered approach.
Abstract
In this paper, based on nonuniform sampling, the master-slave synchronization in a class of Lur’e systems is studied via using the sampled outputs of error system. Different from existing results, the transmission of control signals is determined by a novel adaptive event-triggered scheme, where the triggering thresholds depend on the dynamic behaviors of controlled systems rather than the predetermined constants as some traditional ones. Through choosing two augmented Lyapunov–Krasovskii functionals (LKFs), some delay-dependent synchronization criteria are formulated and the conservatism can be effectively reduced owing to the utilization of Wirtinger-based inequalities and delay-product-type LKF terms. Especially, the existence of the controller can be easily checked since the derived conditions are presented via LMI forms. Finally, two numerical examples with comparisons and simulations are given to illustrate the proposed results.
Year
DOI
Venue
2018
10.1016/j.ins.2018.06.012
Information Sciences
Keywords
Field
DocType
Chaotic Lur’e systems,Master-slave synchronization,Adaptive event-triggered scheme,Sampled-data control,Time-varying delay
Control theory,LKFS,Synchronization,Control theory,Data synchronization,Event triggered,Artificial intelligence,Chaotic,Machine learning,Mathematics,Nonuniform sampling
Journal
Volume
ISSN
Citations 
462
0020-0255
0
PageRank 
References 
Authors
0.34
31
4
Name
Order
Citations
PageRank
Tao Li131526.00
Ruiting Yuan200.34
Shumin Fei3214.63
Zhengtao Ding4315.53