One of the main goals of optimal control theory is to provide a
theoretical basis for choosing an appropriate controller for
whatever system is under consideration by the researcher or
engineer. Two popular norms that have proved useful are known as
H-2 and H - infinity control. The first has been particularly
applicable to problems arising in the aerospace industry. However,
most industrial problems are badly modeled and the second norm
proved to be more appropriate when the actual conditions of the
problem did not conform to the stipulated conditions of the theory.
This book takes the topic of H-infinity control as a point of
departure and pursues an improved controller design which has been
suggested in the mainstream of robust control. Its main theme,
minimum entropy control, provides a means of trading off some of
the features of other control problems. The book is aimed at
research workers in networking systems as well as those in operator
theory and linear multivariable control. The use of stochastic
methods makes the book also of importance to the circuits and
systems community. CONTENTS: Preface Introduction Preliminaries
Induced Operator Norms Discrete-Time Entropy Connections With
Related Optimal Control Problems Minimum Entropy Control
Continuous-Time Entropy A. Proof of Theorem B. Proof of Theorem
Bibliography Notation Index"
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