RELATIVE STABILITY MARGINS OF MULTIVARIABLE SYSTEMS - CHARACTERISTIC LOCUS APPROACH

Recent work has proven that characteristics locus plots form the natural medium for the generalization of the Nyquist approach. In the present paper these plots are used to extend classical scalar techniques of assessing relative stability margins to the multivariable case. Thus the estimation of cl...

Full description

Bibliographic Details
Main Authors: Cameron, R, Kouvaritakis, B
Format: Journal article
Published: 1979
_version_ 1797069374448730112
author Cameron, R
Kouvaritakis, B
author_facet Cameron, R
Kouvaritakis, B
author_sort Cameron, R
collection OXFORD
description Recent work has proven that characteristics locus plots form the natural medium for the generalization of the Nyquist approach. In the present paper these plots are used to extend classical scalar techniques of assessing relative stability margins to the multivariable case. Thus the estimation of closed-loop poles using curvilinear squares is first discussed and subsequently the use of constant dynamic magnification circles in predicting performance under feedback is considered. A new concept relevant to both techniques is introduced, namely that of interference. Interference relates to the loop distribution of eigenvalues, and complements the concept of interaction which relates to eigenvector distribution.
first_indexed 2024-03-06T22:23:29Z
format Journal article
id oxford-uuid:55d915c5-b954-4040-a849-416876accdc0
institution University of Oxford
last_indexed 2024-03-06T22:23:29Z
publishDate 1979
record_format dspace
spelling oxford-uuid:55d915c5-b954-4040-a849-416876accdc02022-03-26T16:46:49ZRELATIVE STABILITY MARGINS OF MULTIVARIABLE SYSTEMS - CHARACTERISTIC LOCUS APPROACHJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:55d915c5-b954-4040-a849-416876accdc0Symplectic Elements at Oxford1979Cameron, RKouvaritakis, BRecent work has proven that characteristics locus plots form the natural medium for the generalization of the Nyquist approach. In the present paper these plots are used to extend classical scalar techniques of assessing relative stability margins to the multivariable case. Thus the estimation of closed-loop poles using curvilinear squares is first discussed and subsequently the use of constant dynamic magnification circles in predicting performance under feedback is considered. A new concept relevant to both techniques is introduced, namely that of interference. Interference relates to the loop distribution of eigenvalues, and complements the concept of interaction which relates to eigenvector distribution.
spellingShingle Cameron, R
Kouvaritakis, B
RELATIVE STABILITY MARGINS OF MULTIVARIABLE SYSTEMS - CHARACTERISTIC LOCUS APPROACH
title RELATIVE STABILITY MARGINS OF MULTIVARIABLE SYSTEMS - CHARACTERISTIC LOCUS APPROACH
title_full RELATIVE STABILITY MARGINS OF MULTIVARIABLE SYSTEMS - CHARACTERISTIC LOCUS APPROACH
title_fullStr RELATIVE STABILITY MARGINS OF MULTIVARIABLE SYSTEMS - CHARACTERISTIC LOCUS APPROACH
title_full_unstemmed RELATIVE STABILITY MARGINS OF MULTIVARIABLE SYSTEMS - CHARACTERISTIC LOCUS APPROACH
title_short RELATIVE STABILITY MARGINS OF MULTIVARIABLE SYSTEMS - CHARACTERISTIC LOCUS APPROACH
title_sort relative stability margins of multivariable systems characteristic locus approach
work_keys_str_mv AT cameronr relativestabilitymarginsofmultivariablesystemscharacteristiclocusapproach
AT kouvaritakisb relativestabilitymarginsofmultivariablesystemscharacteristiclocusapproach