Analysis and computation of nonlinear boundary control for heat conduction in nonsmooth domains with point observations /

In this dissertation, we study quadratic regulator (QR)

Bibliographic Details
Main Author: You, Puhong, 1965-
Format: Thesis Book
Language:English
Published: [Place of publication not identified] : [publisher not identified] ; 1996.
Subjects:
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Description
Summary:In this dissertation, we study quadratic regulator (QR)
problems in boundary control systems governed by the heat
equation with pointwise observations in nonsmooth domains,
which are motivated by the control of heat conduction and
contemporary 44smart sensors". Both linear and nonlinear
boundary conditions are considered. To settle the well-
posedness of our QR problems, regularities of the solution of
the heat equation in a Lipschitz cylinder are studied via the
method of boundary integral equations. By using classical
analytic techniques, the mapping properties of heat po
tentials and related boundary integral operators between
various Banach spaces are studied extensively. Several new
and sharp regularity results on heat potentials are
presented. These results extend the corresponding results in
the literature. H61der continuity of the solution of the
heat equation in a Lipschitz cylinder is proved by utilizing
the Neumann function of the heat equation. This is the first
time such a result has been proved. For the heat equation
with nonlinear boundary conditions, a new constructive method
is adopted to establish the existence and uniqueness of the
solution in the space of H61der continuous functions. The QR
problem is studied via a variational inequality approach in a
Banach space setting. A first order optimality condition is
derived and then a characterization formula of the optimal
control is obtained. Since singularities appear in the
optimal control, a singularity decomposition formula is also
established, from which the nature of the singularities is
clearly exhibited. Based upon the optimality condition and
the characterization formula, a numerical algorithm, called
the conditioned gradient projection method, coupled with a
boundary element method, is designed to approximate the
optimal control. Results on convergence and its rate of the
above algorithm, together with some numerical experiments,
are also presented.
Item Description:Vita.
"Major Subject: Mathematics".
Physical Description:ix, 111 leaves : illustrations ; 28 cm.
Issued also on microfiche from University Microfilms Inc.
Bibliography:Includes bibliographical references: pages 107-110.