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This is a reproduction of a book published before 1923. This book
may have occasional imperfections such as missing or blurred pages,
poor pictures, errant marks, etc. that were either part of the
original artifact, or were introduced by the scanning process. We
believe this work is culturally important, and despite the
imperfections, have elected to bring it back into print as part of
our continuing commitment to the preservation of printed works
worldwide. We appreciate your understanding of the imperfections in
the preservation process, and hope you enjoy this valuable book.
This scarce antiquarian book is a selection from Kessinger
Publishing's Legacy Reprint Series. Due to its age, it may contain
imperfections such as marks, notations, marginalia and flawed
pages. Because we believe this work is culturally important, we
have made it available as part of our commitment to protecting,
preserving, and promoting the world's literature. Kessinger
Publishing is the place to find hundreds of thousands of rare and
hard-to-find books with something of interest for everyone!
Recent developments in sensor and processor sophistication have
created a need for effective estimation and control algorithms for
hybrid, nonlinear systems. This volume presents a highly effective,
flexible family of estimation algorithms that can be used in
estimating or controlling a wide variety of nonlinear plants.
Several applications are studied, including tracking a maneuvering
aircraft, automatic target recognition, and the decoding of signals
transmitted across a wireless communications link. The authors
begin by setting out the necessary theoretical background. They
then develop a practical, finite-dimensional approximation to an
optimal estimator. Throughout the chapters they illustrate
theoretical results by simulation of control and estimation in
real-world hybrid systems, drawn from a variety of engineering
fields. The book will be of great interest to graduate students and
researchers in electrical and computer engineering. It will also be
a useful reference for practicing engineers involved in the design
of estimation, tracking or wireless communications systems.
Recent developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid, nonlinear systems. This volume presents a highly effective, flexible family of estimation algorithms that can be used in estimating or controlling a wide variety of nonlinear plants. Several applications are studied, including tracking a maneuvering aircraft, automatic target recognition, and the decoding of signals transmitted across a wireless communications link. The authors begin by setting out the necessary theoretical background. They then develop a practical, finite-dimensional approximation to an optimal estimator. Throughout the chapters they illustrate theoretical results by simulation of control and estimation in real-world hybrid systems, drawn from a variety of engineering fields. The book will be of great interest to graduate students and researchers in electrical and computer engineering. It will also be a useful reference for practicing engineers involved in the design of estimation, tracking or wireless communications systems.
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