Название: Dynamic Data-driven Simulation: Real-time Data For Dynamic System Analysis And PredictionАвтор: Xiaolin Hu
Издательство: World Scientific Publishing
Год: 2023
Страниц: 329
Язык: английский
Формат: pdf (true)
Размер: 17.3 MB
This comprehensive book systematically introduces Dynamic Data Driven Simulation (DDDS) as a new simulation paradigm that makes real-time data and simulation model work together to enable simulation-based prediction/analysis. The text is significantly dedicated to introducing data assimilation as an enabling technique for DDDS. While data assimilation has been studied in other science fields (e.g., meteorology, oceanography), it is a new topic for the modeling and simulation community. This unique reference text bridges the two study areas of data assimilation and modelling and simulation, which have been developed largely independently from each other.
Data play essential roles in almost every aspect of computer modeling and simulation. During the early stages of model development, data are used to formulate the design of a model and the environment in which the model resides. After a model becomes available, data are used to calibrate model parameters and to validate the model. Data are also used in a simulation run to set the initial state for a model, provide inputs to the model, and to record the behavior (i.e., output) of the model. This section discusses the connections between data and simulation. The discussion focuses on the simulation phase assuming that a simulation model has been developed.
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