Digital control

• 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.