Stochastic robustness synthesis for a benchmark problem

Robert F. Stengel; Christopher I. Marrison

doi:10.23919/acc.1992.4792571

Stochastic robustness synthesis for a benchmark problem

Robert F. Stengel, Christopher I. Marrison

Mechanical & Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 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 language	English (US)
Title of host publication	Proceedings of the American Control Conference
Publisher	Publ by American Automatic Control Council
Pages	2421-2422
Number of pages	2
ISBN (Print)	0780302109, 9780780302105
DOIs	https://doi.org/10.23919/acc.1992.4792571
State	Published - 1992
Event	Proceedings of the 1992 American Control Conference - Chicago, IL, USA Duration: Jun 24 1992 → Jun 26 1992

Publication series

Name	Proceedings of the American Control Conference
Volume	3
ISSN (Print)	0743-1619

Other

Other	Proceedings of the 1992 American Control Conference
City	Chicago, IL, USA
Period	6/24/92 → 6/26/92

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.23919/acc.1992.4792571

Cite this

@inproceedings{960475ee1ad343b9b176a5e49203f965,

title = "Stochastic robustness synthesis for a benchmark problem",

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.",

author = "Stengel, {Robert F.} and Marrison, {Christopher I.}",

year = "1992",

doi = "10.23919/acc.1992.4792571",

language = "English (US)",

isbn = "0780302109",

series = "Proceedings of the American Control Conference",

publisher = "Publ by American Automatic Control Council",

pages = "2421--2422",

booktitle = "Proceedings of the American Control Conference",

note = "Proceedings of the 1992 American Control Conference ; Conference date: 24-06-1992 Through 26-06-1992",

}

Stengel, RF & Marrison, CI 1992, Stochastic robustness synthesis for a benchmark problem. in Proceedings of the American Control Conference. Proceedings of the American Control Conference, vol. 3, Publ by American Automatic Control Council, pp. 2421-2422, Proceedings of the 1992 American Control Conference, Chicago, IL, USA, 6/24/92. https://doi.org/10.23919/acc.1992.4792571

TY - GEN

T1 - Stochastic robustness synthesis for a benchmark problem

AU - Stengel, Robert F.

AU - Marrison, Christopher I.

PY - 1992

Y1 - 1992

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0026971389&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026971389&partnerID=8YFLogxK

U2 - 10.23919/acc.1992.4792571

DO - 10.23919/acc.1992.4792571

M3 - Conference contribution

AN - SCOPUS:0026971389

SN - 0780302109

SN - 9780780302105

T3 - Proceedings of the American Control Conference

SP - 2421

EP - 2422

BT - Proceedings of the American Control Conference

PB - Publ by American Automatic Control Council

T2 - Proceedings of the 1992 American Control Conference

Y2 - 24 June 1992 through 26 June 1992

ER -

Stochastic robustness synthesis for a benchmark problem

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this