Performance and robustness analysis for structured uncertainty

Doyle, John C. and Wall, Joseph E. and Stein, Gunter (1982) Performance and robustness analysis for structured uncertainty. In: 1982 21st IEEE Conference on Decision and Control. IEEE , Piscataway, NJ, pp. 629-636. https://resolver.caltech.edu/CaltechAUTHORS:20190308-152211137

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Abstract

This paper introduces a nonconservative measure of performance for linear feedback systems in the face of structured uncertainty. This measure is based on a new matrix function, which we call the Structured Singular Value.

Item Type:

Book Section

Related URLs:

URL	URL Type	Description
https://doi.org/10.1109/cdc.1982.268218	DOI	Article

ORCID:

Author	ORCID
Doyle, John C.	0000-0002-1828-2486

Additional Information:

© 1982 IEEE. This work has been supported by Honeywell Internal Research and Development Funding, The Office of Naval Research under ONR Research Grant N00014-82-C-0157, and the U.S. Air Force Office of Scientific Research Grant F49620-82-C-0090. We would like to thank our colleagues at the Honeywell Systems and Research Center for their contribution to this paper and in particular, Dr. Norm Lehtomaki and Prof. Michael Safonov (also of USC). Jim Freudenberg (also of the University of Ilinois) made a major contribution to the implementation of the algorithms used in the examples.

Funders:

Funding Agency	Grant Number
Honeywell Incorporated	UNSPECIFIED
Office of Naval Research (ONR)	N00014-82-C-0157
Air Force Office of Scientific Research (AFOSR)	F49620-82-C-0090

DOI:

10.1109/cdc.1982.268218

Record Number:

CaltechAUTHORS:20190308-152211137

Persistent URL:

https://resolver.caltech.edu/CaltechAUTHORS:20190308-152211137

Official Citation:

J. C. Doyle, J. E. Wall and G. Stein, "Performance and robustness analysis for structured uncertainty," 1982 21st IEEE Conference on Decision and Control, Orlando, FL, USA, 1982, pp. 629-636. doi: 10.1109/CDC.1982.268218

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ID Code:

93678

Collection:

CaltechAUTHORS

Deposited By:

George Porter

Deposited On:

09 Mar 2019 00:06

Last Modified:

16 Nov 2021 16:59

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