(WINTER 2010)

An elective course in the Certificate Program in Embedded Systems Engineering.
Learn how to apply modern control theory to optimize your embedded system designs using microcontrollers or DSP devices. The majority of embedded designs are closed loop control systems, as opposed to open loop control. This course provides practical how-to knowledge in deriving and applying practical control theory algorithms. Z Transforms are introduced as a practical way of developing the needed difference equations for optimal designs. Participants learn to evaluate and select the best control algorithm for desired control applications such as proportional-integral-derivative (PID), fuzzy logic or Z Transform-derived difference equations. Prerequisite: EECS 805, C Programming for Embedded Systems and EECS X497.32, Fundamentals of Embedded Systems Design and Programming or equivalent experience. See enrollment confirmation for login information. Note: Students will need to have Student (or other) edition of MathWork's MATLAB with the Control System and Signal Processing Toolboxes. (Only version 2007a works with a MAC with PowerPC, 2008 works with Intel-powered MAC and Windows machines).

Albert S. Jackson, Ph.D., has 31 years of experience in the fields of computer architecture, microprocessor/embedded systems applications, digital signal processing technology, computer simulation and control theory. He has extensive experience in hardware/software design of embedded-control and real-time systems, and over 25 years experience teaching university-level engineering courses. Jackson is the author of Analog Simulation from McGraw-Hill.