Optimal control, estimation, and shape design analysis and applications /
Abstract (Summary)
DAVID, JOHN ANDREW. Optimal Control, Estimation, and Shape Design: Analysis
and Applications . (Under the direction of H.T. Tran.)
This work considers applied optimization in several contexts. Generally, we consider
the optimal design of Traveling Wave Tubes (TWTs) and electron guns and the application
of optimal control to human immunodeficiency virus (HIV) treatment schedules.
First, we consider the optimal design of electron guns using the 3D finite element
code Beam Optics Analysis (BOA). Specifically, we consider the design of a Pierce gun
that will be used in a 10MW multiple beam klystron at L-Band and a sheet beam gun
(SBG). We consider various design considerations including beam shape, current, and
electric field properties.
Secondly, we consider the design of TWTs, which are vacuum electron devices used for
the amplification of radio frequency power. We use the simulation code CHRISTINE-1D
to consider the design of a linear, C-Band, helix TWT and a folded waveguide slow-wave
circuit.
Finally, we consider the problem of using optimal control methodology to design HIV
treatment schedules. We first introduce a model describing HIV dynamics and study
this model under optimal control based treatment strategies using a variety of sensitivity
equations. We then study the Extended Kalman Filter (EKF) as a tool to filter data
and estimate unknown states and model parameters. We then apply a Receding Horizon
Control (RHC) methodology to the control of this model. This methodology is used
in conjunction with the EKF, in the presence of noisy data, poor drug adherence and
imperfectly known model parameters. We then study this methodology on a model of
HIV dynamics that incorporates drug resistance.
Optimal Control, Estimation, and Shape Design: Analysis and Applications
by
John A. David
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
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: