Title :
Complexity Reduction in Optimization-Based Design of Control Systems with Uncertain Plant
Author :
Polak, E. ; Stimler, D.M.
Author_Institution :
Department of Electrical Engineering and Computer Sciences and the Electronics Research Laboratory, University of California, Berkeley, California 94720
Abstract :
This paper explores the use of semi-infinite programming (SIP) algorithms for solving complex SISO control system design problems when the plant model contains both parametric and unstructured uncertainty. It is shown that to make such a design computationally tractable, it is necessary to replace the original performance-specifying semi-infinite inequalities by majorizations.
Keywords :
Algorithm design and analysis; Control system synthesis; Control systems; Design optimization; Frequency; Mathematical model; Poles and zeros; Robust stability; Transfer functions; Uncertainty;
Conference_Titel :
American Control Conference, 1983
Conference_Location :
San Francisco, CA, USA
