Digital Control Design Via Convex Optimization

[+] Author and Article Information
R. E. Avedon

Engineering-Economic Systems, Stanford University, Stanford, CA 94305

B. A. Francis

Electrical Engineering, University of Toronto, Toronto M5S 1A4 Canada

J. Dyn. Sys., Meas., Control 115(4), 579-586 (Dec 01, 1993) (8 pages) doi:10.1115/1.2899183 History: Received October 27, 1992; Revised January 27, 1993; Online March 17, 2008


A design method for sampled-data systems is presented incorporating robust control theory and convex optimization techniques. The technique is developed using operator theory applied to the relevant input-output operators for both performance and stability robustness. Numerical algorithms and an example for the SISO case are presented to explore some traditional sampled-data design heuristics.

Copyright © 1993 by The American Society of Mechanical Engineers
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