June 2008, ©2007
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- 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.