Stochastic robustness synthesis for a benchmark problem

Robert F. Stengel, Christopher I. Marrison

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Stochastic Robustness Analysis guides the synthesis of robust LQG regulators for a Benchmark Control Problem. Probabilities of exceeding allowable design limits, including stability, settling time, and control usage, are estimated by Monte Carlo evaluation. Robust, low-gain compensators that fulfill objectives are designed by numerically minimizing quadratic functions of these probabilities. The method is straightforward and makes use of uncomplicated design principles.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
PublisherPubl by American Automatic Control Council
Pages2421-2422
Number of pages2
ISBN (Print)0780302109, 9780780302105
DOIs
StatePublished - 1992
EventProceedings of the 1992 American Control Conference - Chicago, IL, USA
Duration: Jun 24 1992Jun 26 1992

Publication series

NameProceedings of the American Control Conference
Volume3
ISSN (Print)0743-1619

Other

OtherProceedings of the 1992 American Control Conference
CityChicago, IL, USA
Period6/24/926/26/92

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Stengel, R. F., & Marrison, C. I. (1992). Stochastic robustness synthesis for a benchmark problem. In Proceedings of the American Control Conference (pp. 2421-2422). (Proceedings of the American Control Conference; Vol. 3). Publ by American Automatic Control Council. https://doi.org/10.23919/acc.1992.4792571