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Modeling and Inverse Problems in the Presence of Uncertainty
book

Modeling and Inverse Problems in the Presence of Uncertainty

by H. T. Banks, Shuhua Hu, W. Clayton Thompson
April 2014
Intermediate to advanced content levelIntermediate to advanced
405 pages
13h
English
Chapman and Hall/CRC
Content preview from Modeling and Inverse Problems in the Presence of Uncertainty
Chapter 7
Propagation of Uncertainty in a
Continuous Time Dynamical System
Uncertainty is ubiquitous in almost all branches of science and their applica-
tions including physics, che mis try, biology, engineering, environmental science
and social science. Following the seminal work of [88], uncertainty is often
classified into two types. One is epistemic (or reducible) uncertainty, which
can possibly be reduced by improved measurements or improvements in the
modeling proc ess. The other is aleatory (or irreducible) uncertainty, which is
the result of intrinsic variability/stochasticity of the system.
Uncertainty propagation through a dynamic system has ...
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Publisher Resources

ISBN: 9781482206432