Finite-Time Topology Identification Function Projective Synchronization of Cohen-Grossberg Neural Networks with Time Delays and Stochastic Disturbance
Release Time:2019-03-10 Hits:
Indexed by: Conference Paper
Date of Publication: 2016-01-01
Included Journals: CPCI-S
Page Number: 750-755
Abstract: We studied finite-time function projective synchronization of unknown delayed Cohen-Grossberg neural networks with stochastic disturbance. A hybrid control scheme is proposed to let the drive-response networks synchronize and have a scaling function relation in finite time with topology identification by using the finite-time stability theory. Furthermore, we estimate the high bounds of the synchronization settling time. Finally, the corresponding numerical simulation and its application in secure communication are provided to verify the correctness of the method we proposed.