RT Journal Article
T1 Robust fixed-time synchronization of discontinuous Cohen–Grossberg neural networks with mixed time delays
A1 Kong, Fanchao
A1 Zhu, Quanxin
A1 Liang, Feng
A1 Nieto Roig, Juan José
K1 Fixed-time synchronization
K1 Discontinuous neuron activations
K1 Functional differential inclusions theory
K1 Mixed time delays
AB This paper aims to investigate the fixed-time synchronization (i.e., synchronization infixed-time sense) of Cohen–Grossberg drive-response neural networks with discontinuous neuronactivations and mixed time delays (both time-varying discrete delay and distributed delay). Toaccomplish the target of fixed-time synchronization, a novel discontinuous feedback controlprocedure is firstly designed for the response neural networks. Then, under the framework ofFilippov solutions, by means of functional differential inclusions theory, inequality techniqueand the nonsmooth analysis theory with Lyapunov-like approach, some sufficient criteria arederived to design the control parameters for achieving fixed-time synchronization of the proposeddrive-response systems. Finally, two numerical examples are presented to illustrate the proposedmethodologies
PB Vilnius University Press
SN 1392-5113
YR 2019
FD 2019
LK http://hdl.handle.net/10347/21024
UL http://hdl.handle.net/10347/21024
LA eng
NO Kong F., Zhu Q., Liang F. and Nieto J. J. (2019) “Robust fixed-time synchronization of discontinuous Cohen–Grossberg neural networks with mixed time delays”, Nonlinear Analysis: Modelling and Control, 24(4), pp. 603–625. doi: 10.15388/NA.2019.4.7
DS Minerva
RD 22 abr 2026