Optimization problems in the presence of uncertainty
Abstract (Summary)
GROVE, SARAH L. Optimization Problems in the Presence of Uncertainty. (Under the
direction of Professor H.T. Banks).
We consider optimization problems in the presence of uncertainty for three different
scientific examples. The first optimization problem addressed is in the area of parameter
estimation. We review the asymptotic theory for standard errors in classical ordinary
least squares (OLS) inverse or parameter estimation problems involving general nonlinear
dynamical systems where sensitivity matrices can be used to compute the asymptotic covariance
matrices. We discuss possible pitfalls in computing standard errors in regions of
low parameter sensitivity and/or near a steady state solution of the underlying dynamical
system.
Next we consider electromagnetic evasion-interrogation games where the evader
can use ferroelectric material coatings to avoid detection while the interrogator can manipulate
the interrogating frequencies and angles of incidence to enhance detection. Each
player in this two-player game wishes to change the amount of reflected signal created in
a way that will benefit them the most. Thus both players will attempt to optimize their
chances of either remaining undetected or detecting their opponent. With the introduction
of uncertainty, the resulting game is carried out over spaces of probability measures.
Finally, a one player dynamical game is formulated. The premise here is for the
evader to manipulate the ferroelectric material coatings to avoid detection based upon
updated information about the frequencies being sent out. The uncertainty is found in the
frequencies that the interrogator will employ. We incorporate both drift and diffusion into
this optimization problem.
Optimization Problems in the Presence of Uncertainty
by
Sarah L. Grove
A dissertation submitted to the Graduate Faculty of
North Carolina State University
in partial fulfillment of the
requirements for the Degree of
Doctor of Philosophy
Mathematics
Raleigh, North Carolina
2007
Bibliographical Information:
Advisor:
School:North Carolina State University
School Location:USA - North Carolina
Source Type:Master's Thesis
Keywords:north carolina state university
ISBN:
Date of Publication: