Dynamic Data-driven Simulation: Real-time Data For Dynamic System Analysis And Prediction
โ Scribed by Xiaolin Hu
- Publisher
- WSPC
- Year
- 2023
- Tongue
- English
- Leaves
- 328
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
๐ SIMILAR VOLUMES
<p>Although its roots can be traced to the 19th century, progress in the study of nonlinear dynamical systems has taken off in the last 30 years. While pertinent source material exists, it is strewn about the literature in mathematics, physics, biology, economics, and psychology at varying levels of
Front cover; Contents; Preface; Editors; Contributors; Chapter 1. Introduction to Nonlinear Dynamical Systems Analysis; Body; Chapter 2. Principles of Time Series Analysis; Chapter 3. Frequency Distributions and Error Functions; Chapter 4. Phase Space Analysis and Unfolding; Chapter 5. Nonlinear Dyn
<p><p>The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies.</p><p>Beginning with general concepts and history of the paradigm, the text prov