Event-triggered H_∞ synchronization for switched discrete time delayed recurrent neural networks with actuator constraints and nonlinear perturbations

摘要

In this paper, event-triggered H-infinity 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 con-sidered, the resulting closed-loop system is exponentially stable with the disturbance attenuation level (gamma) over cap 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 in-equalities (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. (C) 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.