TY - JOUR
T1 - Synchronization of neural networks by decentralized feedback control
AU - Cheng, Chao Jung
AU - Liao, Teh Lu
AU - Yan, Jun Juh
AU - Hwang, Chi Chuan
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2005/4/18
Y1 - 2005/4/18
N2 - This Letter deals with the synchronization problem of a class of neural networks with/without time delays. Based on the drive-response concept and the Lyapunov stability theorem, a delay-independent and decentralized control law is derived to achieve the exponential synchronization. Two illustrative examples are given to demonstrate the effectiveness of the presented synchronization scheme.
AB - This Letter deals with the synchronization problem of a class of neural networks with/without time delays. Based on the drive-response concept and the Lyapunov stability theorem, a delay-independent and decentralized control law is derived to achieve the exponential synchronization. Two illustrative examples are given to demonstrate the effectiveness of the presented synchronization scheme.
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U2 - 10.1016/j.physleta.2005.01.082
DO - 10.1016/j.physleta.2005.01.082
M3 - Article
AN - SCOPUS:15744378840
SN - 0375-9601
VL - 338
SP - 28
EP - 35
JO - Physics Letters, Section A: General, Atomic and Solid State Physics
JF - Physics Letters, Section A: General, Atomic and Solid State Physics
IS - 1
ER -