Abstract. Model predictive control (MPC) is a popular controller design technique in the process industry. Conventional MPC uses linear or nonlinear discrete-time models. Recently, we have extended MPC to a class of discrete event systems that can be
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Credits: 4 Term(s) Offered: Fall: No Spring: Yes Summer: No Description: This course provides an introduction to feedback control systems, mathematical models, second order systems response and identification, system types, steady-state errors, root locus analysis and design, Bode plots, Nyquist theory and frequency domain compensation techniques. The course also includes a laboratory. Prerequisites: ECE 1552 or ECE/COE 0041 permission of the instructor Topics Covered:
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