Industrial Network Security: Securing Critical Infrastructure Networks for Smart Grid, SCADA, and Other Industrial Control Systems

Author: Dan Gabriel Cacuci , Ionel Michael Navon , Mihaela Ionescu-Bujor & 0 more

Publisher: ‎ Chapman and Hall/CRC

Edition:

Publication Date: 2013-08-21

Language: English

Paperback: 374 pages

ISBN-10: 1584887354

ISBN-13: 9781584887355

Book Description

Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly conceing frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdisciplinary methods for integrating experimental and computational information. This self-contained book shows how the methods can be applied in many scientific and engineering areas.

After presenting the fundamentals underlying the evaluation of experimental data, the book explains how to estimate covariances and confidence intervals from experimental data. It then describes algorithms for both unconstrained and constrained minimization of large-scale systems, such as time-dependent variational data assimilation in weather prediction and similar applications in the geophysical sciences. The book also discusses several basic principles of four-dimensional variational assimilation (4D VAR) and highlights specific difficulties in applying 4D VAR to large-scale operational numerical weather prediction models.

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