DIGITAL CONTROL
Kannan Moudgalya
Kannan Moudgalya
Digital
control systems are becoming increasingly prevalent and important
within industry. In recent years significant progress has been made in
their analysis and design - particularly within the areas of
microprocessors and digital signal processors. The traditional approach
to teaching digital control assumes an understanding of analog control
theory; Digital Control, however, teaches the fundamentals of the
topics, assuming no prior knowledge of control engineering. Organised
into five sections, it discusses modelling, signal processing and
identification of plants from measurements, as well as the transfer
function approach to, and state space techniques for, control design.*
Teaches the fundamentals of digital control, enabling the student to
exploit the complete potential of digital systems.* Presents a number of
control techniques including proportional-integral-derivative (PID),
pole placement, internal model, minimum variance, model predictive and
linear quadratic Gaussian control and their extensions.* Provides an
extensive introduction to digital signal processing, an essential
component to the understanding and implementation of digital
controllers; and to the identification of plant models, an important
topic in this information era.* Includes examples, problems and
solutions as well as accompanying MatLAB code. Digital Control offers an
advanced and self-contained textbook to senior undergraduates and
postgraduates in chemical, electrical and mechanical engineering and
computer science. It will also appeal to practicing systems engineers
who need to learn digital control
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