A much-awaited guide to real-world problems in modern control and
estimation
This combined text and reference deals with the design of modern
control systems. It is the first book in this rapidly growing field
to approach optimal control and optimal estimation from a strictly
pragmatic standpoint. Sidestepping the realm of theoretical
mathematics, An Engineering Approach to Optimal Control and
Estimation Theory offers realistic and workable solutions that can
be put to immediate use by electrical and mechanical engineers in
aerospace and in many other applications.
The author draws on his extensive experience in research and
development from industry, government, and academia to present
systematic, accessible coverage of all important topics, including:
* All basic mathematics needed to apply subsequent information
* A historical perspective on the evolution of modern control and
estimation theory
* All major concepts relevant to the design of modern control
systems--from the Kalman filter, to linear regulators, to
decentralized Kalman filters
* Practical examples useful in applying the principles under
discussion
* Problems at the end of each chapter
* Carefully selected references from the vast number of books
published on this subject
* Appendixes reviewing matrix algebra that is central to modern
control theory, as well as matrix subroutines, useful to both
students and practicing engineers
Optimal Control and Estimation Theory
Optimal control and optimal estimation have seen tremendous growth
over the past three decades, owing to major advances in aerospace
and other types of engineering. Optimal control and estimation
theory is crucial to the design of modern control systems; for
instance, navigation, mobile robotics, or automated vehicles and
aircraft. It ensures that variables such as temperatures or
pressure are kept in check, regardless of the disturbance the
system undergoes.
Despite the proliferation of books on the subject, most of the
material published in this area is highly theoretical, and
approaches the subject in a "theorem-proof" fashion, which is more
appropriate to mathematics than to an engineering text. As its
title suggests, An Engineering Approach to Optimal Control and
Estimation Theory provides a practical and accessible guide,
focusing on applications and implementation, and answering
real-world questions faced by control engineers.
In its highly organized overview of all areas, the book examines
the design of modern optimal controllers requiring the selection of
a performance criterion, demonstrates optimization of linear
systems with bounded controls and limited control effort, and
considers nonlinearities and their effect on various types of
signals.
Covering all the basics, the book deals with the evolution of
optimal control and estimation theory, and presents the necessary
mathematical background needed for this study. It also lists
references and problems, and supplies appendixes for those wishing
to delve into matrix algebra. Throughout, it offers opportunities
for experimentation, while discussing analysis, various filtering
methods, and many other pertinent topics.
An Engineering Approach to Optimal Control and Estimation Theory is
an invaluable, self-contained reference for practicing engineers, a
useful text for graduate students and qualified senior
undergraduates, and an important resource for anyone interested in
the future of modern control technology.
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