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Theory and techniques for control of dynamic processes by digital computer; linear discrete systems, digital filters, sampling signal reconstruction, digital design, state space methods, computers, state estimators, and laboratory techniques. Course Information: 4 undergraduate hours. 4 graduate hours. Prerequisite: GE 320. Class Schedule Information: This course may be a substitute Design Elective in the GE Undergraduate curriculum. The 4th credit hour may be applied to the GE Secondary Field of Concentration (by petition) or Free Electives.

This course covers basic properties and control design techniques for linear time-invariant dynamic systems. Basic properties include sampling of signals and discretization techniques for continuous time systems and Z-transform properties. Systems that include both continuous-time and discrete-time components called sampled-data systems are introduced and their basic properties are studied. Designs for controllers are studied using frequency techniques such root locus and Bode plots as well as state space techniques such as pole placement and estimators. Laboratory sessions and exercises are designed so that the students get a better grasp of discrete-time system characteristics and digital controllers implementation issues. Prerequisite: GE 320.