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. 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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