Synchronization analysis of stochastic Cohen-Grossberg neural networks driven by G-Brownian motion with inertial terms
- Resource Type
- Conference
- Authors
- Wang, Yaqian; Yang, Jun; Gou, Jinhao; Xu, Shiqiang
- Source
- 2023 2nd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC) Robotics, Artificial Intelligence and Intelligent Control (RAIIC), 2023 2nd International Conference on. :353-358 Aug, 2023
- Subject
- Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Sufficient conditions
Delay effects
Neural networks
Aerospace electronics
Numerical simulation
Synchronization
Artificial intelligence
exponential synchronization (ES)
inertial terms
G-Brownian motion
stochastic Cohen-Grossberg neural networks
- Language
In this paper, the exponential synchronization (ES) of stochastic Cohen-Grossberg neural networks driven by G-Brownian motion with inertial terms (G-SCGNNIs) is studied. The original system is transformed into another system by variable substitution. Through establishing an appropriate Lyapunov function and using G-Itô formula, the exponential synchronization criterion of the system is discovered. Ultimately, a numerical simulation example is provided to validate the theoretical result.