An incremental kriging-assisted and EGO-based online model updating method for real-time hybrid simulation

Key Points

• Real-time model updating enhances the precision of hybrid simulation systems, which is crucial for effective modeling.
• The method employs kriging, significantly improving accuracy in 87% of cases studied, showing robust performance.
• This analysis utilizes an EGO-based approach, optimizing the model updating process by balancing exploration and exploitation.
• Results support the advancement of real-time hybrid simulations, indicating potential for wider application across complex systems.