Title :
Stabilization of chaotic neural networks with time-varying delays via non-periodically intermittent control
Author :
Zhenjiang, Zhao ; Qiankun, Song
Author_Institution :
Department of Mathematics, Huzhou Teachers College, Huzhou 313000, P.R. China
Abstract :
In this paper, a class of chaotic neural networks with time-varying delays are considered without assuming the differentiability of the time-varying delays, and the stabilization for the considered neural networks is investigated via intermittent control with non-fixed both control period and control width. A delay-dependent criterion for checking the stabilization of the neural networks are presented by employing Lyapunov-Krasovskii functional and using the matrix inequality techniques. The obtained results extend ones on stabilization of delayed neural networks by periodically intermittent control with both fixed control period and control width. An example with simulations is given to show the effectiveness of the obtained results.
Keywords :
Chaos; Delays; Linear matrix inequalities; Lyapunov methods; Mathematical model; Neural networks; Stability analysis; Chaotic Neural Networks; Linear Matrix Inequality; Non-Periodically Intermittent Control; Stability; Time-Varying Delay;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260173