Anyone seeking a gentle introduction to the methods of modern
control theory and engineering, written at the level of a
first-year graduate course, should consider this book seriously. It
contains: A generous historical overview of automatic control, from
Ancient Greece to the 1970s, when this discipline matured into an
essential field for electrical, mechanical, aerospace, chemical,
and biomedical engineers, as well as mathematicians, and more
recently, computer scientists; A balanced presentation of the
relevant theory: the main state-space methods for description,
analysis, and design of linear control systems are derived, without
overwhelming theoretical arguments; Over 250 solved and exercise
problems for both continuous- and discrete-time systems, often
including MATLAB simulations; and Appendixes on MATLAB, advanced
matrix theory, and the history of mathematical tools such as
differential calculus, transform methods, and linear algebra.
Another noteworthy feature is the frequent use of an inverted
pendulum on a cart to illustrate the most important concepts of
automatic control, such as: Linearization and discretization;
Stability, controllability, and observability; State feedback,
controller design, and optimal control; and Observer design,
reduced order observers, and Kalman filtering. Most of the problems
are given with solutions or MATLAB simulations. All MATLAB programs
from the book are available on the enclosed CD. Whether the book is
used as a textbook or as a self-study guide, the knowledge gained
from it will be an excellent platform for students and practising
engineers to explore further the recent developments and
applications of control theory.
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