Finite time decentralized event-triggered communication scheme for neutral-type Markovian jump neural networks with time varying delays

摘要

The objective of this paper is to analyze the finite time problem of a class of neutral-type Markovian jump neural networks with time varying delays and parametric uncertainties using decentralized event-triggered communication scheme. We present a methodology for designing decentralized event-triggered, which utilize only locally available information, for determining the time instants of transmission from the sensors to the central controller. Based on the Lyapunov function with inequality techniques like reciprocal convex combination method, some sufficient conditions are derived to guarantee the finite-time stability of the considered neural networks. Furthermore, the decentralized event-triggered scheme combined with state feedback controller and is designed to solve the finite time stability. The obtained stability criteria are stated in terms of linear matrix inequalities (LMIs), which can be checked numerically using the effective LMI toolbox in MATLAB. Finally, numerical examples are given to illustrate the effectiveness and reduced conservatism of the proposed results over the existing ones.