Paper Info
Title
Event-triggered synchronization for switched discrete time delayed recurrent neural networks with actuator constraints and nonlinear perturbations.
Abstract
In this paper, event-triggered H∞ synchronization problem is investigated for robust discrete time delayed recurrent neural networks with switching parameters, actuator constraints and non-linear perturbations. An event-triggered communication transmission scheme is adopted and an event generator is presented between the controller and sensor. Meanwhile, average dwell time approach together with the unreliable communication links are considered between the switched recurrent neural networks. Our aim is to design a controller such that, the unavoidable phenomenon of network-induced delays is fully considered, the resulting closed-loop system is exponentially stable with the disturbance attenuation level γ^>0. By utilizing techniques like improved summation inequality together with Jensen’s inequality and Lyapunov- Krasovskii functional, results are derived and formulated in terms of linear matrix inequalities (LMIs) which can be easily verified by the MATLAB LMI control toolbox. Finally, numerical examples are given to demonstrate the effectiveness and benefits of the developed stability criteria.
Year
DOI
Venue
2020
10.1016/j.jfranklin.2020.01.016
Journal of the Franklin Institute
DocType
Volume
Issue
Journal
357
7
ISSN
Citations 
PageRank 
0016-0032
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
R. Vadivel1101.79
M. Syed Ali251839.49
Young Hoon Joo373876.87