GAIN PHASE-DECOMPOSITION AND GENERALIZED PREDICTIVE CONTROL OF SCALAR SYSTEMS

A convenient means of extending generalised predictive control to the multivariable case is through the use of singular value decomposition. However, owing to the bicausal nature of this decomposition, special care has to be taken to ensure that the overall control law is causal; this can be achieve...

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Main Authors: Kouvaritakis, B, Rossiter, J, Chang, A
Format: Journal article
Language:English
Published: 1992
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author Kouvaritakis, B
Rossiter, J
Chang, A
author_facet Kouvaritakis, B
Rossiter, J
Chang, A
author_sort Kouvaritakis, B
collection OXFORD
description A convenient means of extending generalised predictive control to the multivariable case is through the use of singular value decomposition. However, owing to the bicausal nature of this decomposition, special care has to be taken to ensure that the overall control law is causal; this can be achieved by giving up some of the available degrees of freedom, but the results obtained in this way are suboptimal. It is the purpose of this paper to remove this difficulty. Owing to the complexity of the problem, consideration is given only to the scalar case for which the singular value decomposition reduces to a gain/phase decomposition; the proposed approach can be extended to the multivariable case but this is not undertaken here. The efficacy of the algorithm developed in this paper is demonstrated by means of a numerical example.
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spelling oxford-uuid:504a3d50-be9a-4b05-a018-1be8694434d82022-03-26T16:12:39ZGAIN PHASE-DECOMPOSITION AND GENERALIZED PREDICTIVE CONTROL OF SCALAR SYSTEMSJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:504a3d50-be9a-4b05-a018-1be8694434d8EnglishSymplectic Elements at Oxford1992Kouvaritakis, BRossiter, JChang, AA convenient means of extending generalised predictive control to the multivariable case is through the use of singular value decomposition. However, owing to the bicausal nature of this decomposition, special care has to be taken to ensure that the overall control law is causal; this can be achieved by giving up some of the available degrees of freedom, but the results obtained in this way are suboptimal. It is the purpose of this paper to remove this difficulty. Owing to the complexity of the problem, consideration is given only to the scalar case for which the singular value decomposition reduces to a gain/phase decomposition; the proposed approach can be extended to the multivariable case but this is not undertaken here. The efficacy of the algorithm developed in this paper is demonstrated by means of a numerical example.
spellingShingle Kouvaritakis, B
Rossiter, J
Chang, A
GAIN PHASE-DECOMPOSITION AND GENERALIZED PREDICTIVE CONTROL OF SCALAR SYSTEMS
title GAIN PHASE-DECOMPOSITION AND GENERALIZED PREDICTIVE CONTROL OF SCALAR SYSTEMS
title_full GAIN PHASE-DECOMPOSITION AND GENERALIZED PREDICTIVE CONTROL OF SCALAR SYSTEMS
title_fullStr GAIN PHASE-DECOMPOSITION AND GENERALIZED PREDICTIVE CONTROL OF SCALAR SYSTEMS
title_full_unstemmed GAIN PHASE-DECOMPOSITION AND GENERALIZED PREDICTIVE CONTROL OF SCALAR SYSTEMS
title_short GAIN PHASE-DECOMPOSITION AND GENERALIZED PREDICTIVE CONTROL OF SCALAR SYSTEMS
title_sort gain phase decomposition and generalized predictive control of scalar systems
work_keys_str_mv AT kouvaritakisb gainphasedecompositionandgeneralizedpredictivecontrolofscalarsystems
AT rossiterj gainphasedecompositionandgeneralizedpredictivecontrolofscalarsystems
AT changa gainphasedecompositionandgeneralizedpredictivecontrolofscalarsystems