Title :
Exponential synchronization for coupled neural networks with time-varying delay under single impulsive controller
Author :
Ze Tang ; Park, Ju H. ; Jung, H.Y.
Author_Institution :
Dept. of Electr. Eng., Yeungnam Univ., Gyeongsan, South Korea
Abstract :
The global exponential synchronization of the nonlinear coupled neural network with an asymmetrical matrix and time-varying delays is investigated in this paper. By exerting only an impulsive controller on the first node in the network, without lose generality, sufficient criteria are derived to guarantee the realization of the exponential synchronization for the network no matter the impulsive effect plays a positive or negative role in the procedure of achieving stable. What´s more, we give a numerical simulation to support the validity of the analytical results.
Keywords :
delays; matrix algebra; neurocontrollers; nonlinear control systems; synchronisation; asymmetrical matrix; global exponential synchronization; nonlinear coupled neural networks; numerical simulation; single impulsive controller; time-varying delay; Chaos; Convergence; Couplings; Delays; Neural networks; Synchronization; Trajectory; Neural network; exponential synchronization; impulsive controller; nonlinearly coupling; time-varying delays;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162195
