TY - JOUR
T1 - Sampled-data synchronization of delayed multi-agent networks and its application to coupled circuit
AU - Gunasekaran, Nallappan
AU - Zhai, Guisheng
AU - Yu, Qiang
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/11/6
Y1 - 2020/11/6
N2 - This paper deals with the synchronization control of general chaotic delayed neural networks via sampled-data controllers. The synchronization problem is reduced to a stabilization one, and then a Lyapunov–Krasovskii function (LKF) is proposed to obtain the sufficient condition for the asymptotic stability. Moreover, the sufficient condition is presented by linear matrix inequalities (LMIs), which are easy to solve by existing software. Three numerical examples including electrical circuits are provided to confirm validity of the theoretical results.
AB - This paper deals with the synchronization control of general chaotic delayed neural networks via sampled-data controllers. The synchronization problem is reduced to a stabilization one, and then a Lyapunov–Krasovskii function (LKF) is proposed to obtain the sufficient condition for the asymptotic stability. Moreover, the sufficient condition is presented by linear matrix inequalities (LMIs), which are easy to solve by existing software. Three numerical examples including electrical circuits are provided to confirm validity of the theoretical results.
KW - Linear matrix inequality (LMI)
KW - Lyapunov method
KW - Multi-agent networks
KW - Synchronization
KW - Time-delay
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U2 - 10.1016/j.neucom.2020.05.060
DO - 10.1016/j.neucom.2020.05.060
M3 - Article
AN - SCOPUS:85089440518
SN - 0925-2312
VL - 413
SP - 499
EP - 511
JO - Neurocomputing
JF - Neurocomputing
ER -