Abstract
This paper describes the optimal synthesis of digital feedback systems in which the measured variable is sampled at a faster rate than the control is activated. Combining the ‘polynomial equations’ approach with frequency decomposition, the design methodology deals entirely with pulse-transfer function models and, computationally, requires only the solution of scalar spectral factorization and pole-placement problems. The relative influence of the ‘subrate’ LQG controller on closed-loop performance is assessed from results engendered by a series of numerical examples. Copyright © 2000 John Wiley & Sons, Ltd.
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