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Applied and Computational Control, Signals, and Circuits: Recent
Developments is an interdisciplinary book blending mathematics,
computational mathematics, scientific computing and software
engineering with control and systems theory, signal processing, and
circuit simulations. The material consists of seven
state-of-the-art review chapters, each written by a leading expert
in that field. Each of the technical chapters deals exclusively
with some of the recent developments involving applications and
computations of control, signals and circuits. Also included is a
Chapter focusing on the newly developed Fortran-based software
library, called SLICOT, for control systems design and analysis.
This collection will be an excellent reference work for research
scientists, practicing engineers, and graduate level students of
control and systems, circuit design, power systems and signal
processing.
Applied and Computational Control, Signals, and Circuits: Recent
Developments is an interdisciplinary book blending mathematics,
computational mathematics, scientific computing and software
engineering with control and systems theory, signal processing, and
circuit simulations. The material consists of seven
state-of-the-art review chapters, each written by a leading expert
in that field. Each of the technical chapters deals exclusively
with some of the recent developments involving applications and
computations of control, signals and circuits. Also included is a
Chapter focusing on the newly developed Fortran-based software
library, called SLICOT, for control systems design and analysis.
This collection will be an excellent reference work for research
scientists, practicing engineers, and graduate level students of
control and systems, circuit design, power systems and signal
processing.
This second edition of the author's acclaimed textbook covers the
major topics of computational linear algebra, including solution of
a system of linear equations, least-squares solutions of linear
systems, computation of eigenvalues, eigenvectors, and singular
value problems. Important features of the original edition have
been updated and improved. Drawing from numerous disciplines of
science and engineering, the author covers a variety of motivating
applications. When a physical problem is posed, the scientific and
engineering significance of the solution is clearly stated. Each
chapter contains a summary of the important concepts developed in
that chapter, suggestions for further reading, and numerous
exercises, both theoretical and MATLAB(R) and MATCOM based. The
author also provides a list of key words for quick reference. The
MATLAB toolkit MATCOM contains implementations of the major
algorithms associated with the book and enables students to study
different algorithms for the same problem, comparing efficiency,
stability, and accuracy. Additional online content includes
appendices containing MATLAB codes and the MATCOM toolkit solutions
to selected problems as well as an extra chapter on special topics.
The topics of generalized and quadratic eigenvalue problems, which
arise in practical engineering applications, are described in great
detail. This feature, along with an important overview of Krylov
subspace methods and an extensively updated bibliography, enhances
the book's value as a reference for both engineers and students.
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