ZHANG Yamei, HAO Tao, YIN Sibei, ZHANG Meng. Finite-Time Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks With Time Delays and Stochastic Disturbances and Its Application in Secure Communication[J]. Applied Mathematics and Mechanics, 2020, 41(12): 1405-1416. doi: 10.21656/1000-0887.410025
Citation: ZHANG Yamei, HAO Tao, YIN Sibei, ZHANG Meng. Finite-Time Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks With Time Delays and Stochastic Disturbances and Its Application in Secure Communication[J]. Applied Mathematics and Mechanics, 2020, 41(12): 1405-1416. doi: 10.21656/1000-0887.410025

Finite-Time Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks With Time Delays and Stochastic Disturbances and Its Application in Secure Communication

doi: 10.21656/1000-0887.410025
  • Received Date: 2020-01-13
  • Rev Recd Date: 2020-11-04
  • Publish Date: 2020-12-01
  • The finite-time function projective synchronization of unknown Cohen-Grossberg neural networks with time delays and stochastic disturbances was investigated. A hybrid control scheme combining open-loop control and feedback control was designed to guarantee that the drive and response networks can be synchronized up to a scaling function in a finite time with parameter identification by means of the finite-time stability theory. Besides, the upper bounds of the settling time of synchronization were estimated. Finally, the corresponding numerical simulation and its application in secure communication were provided to demonstrate the validity of the presented synchronization method.
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