A generalized data assimilation architecture of digital twin for complex process industrial systems
Yanbo Zhao,
Haonan Jiang,
Yuanli Cai
et al.
Abstract:As one of the critical cores of digital twin (DT), data assimilation (DA) can maintain consistency and synchronization between DT and physical system. Kalman filtering is a common DA method, but its estimation performance is deteriorated by factors such as model inaccuracy and time-varying noise covariance in practical applications. The errors caused by these multiple uncertainties are all coupled in the measurements, which augments the difficulty for DT to obtain physical system information. In order to tackl… Show more
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