TY - JOUR
T1 - Global asymptotical synchronization of chaotic neural networks by output feedback impulsive control
T2 - An LMI approach
AU - Lu, Jun Guo
AU - Chen, Guanrong
PY - 2009/9/15
Y1 - 2009/9/15
N2 - In this paper, impulsive control for master-slave synchronization schemes consisting of identical chaotic neural networks is studied. Impulsive control laws are derived based on linear static output feedback. A sufficient condition for global asymptotic synchronization of master-slave chaotic neural networks via output feedback impulsive control is established, in which synchronization is proven in terms of the synchronization errors between the full state vectors. An LMI-based approach for designing linear static output feedback impulsive control laws to globally asymptotically synchronize chaotic neural networks is discussed. With the help of LMI solvers, linear output feedback impulsive controllers can be easily obtained along with the bounds of the impulsive intervals for global asymptotic synchronization. The method is finally illustrated by numerical simulations. © 2008 Elsevier Ltd. All rights reserved.
AB - In this paper, impulsive control for master-slave synchronization schemes consisting of identical chaotic neural networks is studied. Impulsive control laws are derived based on linear static output feedback. A sufficient condition for global asymptotic synchronization of master-slave chaotic neural networks via output feedback impulsive control is established, in which synchronization is proven in terms of the synchronization errors between the full state vectors. An LMI-based approach for designing linear static output feedback impulsive control laws to globally asymptotically synchronize chaotic neural networks is discussed. With the help of LMI solvers, linear output feedback impulsive controllers can be easily obtained along with the bounds of the impulsive intervals for global asymptotic synchronization. The method is finally illustrated by numerical simulations. © 2008 Elsevier Ltd. All rights reserved.
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-67649352245&origin=recordpage
U2 - 10.1016/j.chaos.2008.09.024
DO - 10.1016/j.chaos.2008.09.024
M3 - RGC 21 - Publication in refereed journal
SN - 0960-0779
VL - 41
SP - 2293
EP - 2300
JO - Chaos, Solitons and Fractals
JF - Chaos, Solitons and Fractals
IS - 5
ER -