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H∞ design to generalize internal model control

Dehghani, Arvin; Lanzon, Alexander; Anderson, Brian

Description

The internal model control (IMC) design method for stable plants has enjoyed much popularity due to its simple yet effective procedure. However, there are some shortcomings and inadequacies with the IMC design method for both stable and unstable plants which will be exposed in this paper. We propose a new H∞ control design method that somehow captures the useful properties of the IMC design method but can be used for both stable or unstable plants (LTI, SISO) in a coherent framework. Moreover,...[Show more]

dc.contributor.authorDehghani, Arvin
dc.contributor.authorLanzon, Alexander
dc.contributor.authorAnderson, Brian
dc.date.accessioned2015-12-07T22:16:55Z
dc.identifier.issn0005-1098
dc.identifier.urihttp://hdl.handle.net/1885/18273
dc.description.abstractThe internal model control (IMC) design method for stable plants has enjoyed much popularity due to its simple yet effective procedure. However, there are some shortcomings and inadequacies with the IMC design method for both stable and unstable plants which will be exposed in this paper. We propose a new H∞ control design method that somehow captures the useful properties of the IMC design method but can be used for both stable or unstable plants (LTI, SISO) in a coherent framework. Moreover, some restrictive assumptions on the plant are relaxed and some of the IMC shortcomings and limitations are tackled.
dc.publisherPergamon-Elsevier Ltd
dc.sourceAutomatica
dc.subjectKeywords: Industrial plants; Product design; Robustness (control systems); H? loop-shaping; IMC design method; Internal model control; Adaptive control systems Adaptive control; H? loop-shaping; Internal model control; Robust control
dc.titleH∞ design to generalize internal model control
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume42
dc.date.issued2006
local.identifier.absfor010203 - Calculus of Variations, Systems Theory and Control Theory
local.identifier.ariespublicationu3357961xPUB4
local.type.statusPublished Version
local.contributor.affiliationDehghani, Arvin, College of Engineering and Computer Science, ANU
local.contributor.affiliationLanzon, Alexander, College of Engineering and Computer Science, ANU
local.contributor.affiliationAnderson, Brian, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue11
local.bibliographicCitation.startpage1959
local.bibliographicCitation.lastpage1968
local.identifier.doi10.1016/j.automatica.2006.06.007
dc.date.updated2015-12-07T07:59:08Z
local.identifier.scopusID2-s2.0-33748922787
CollectionsANU Research Publications

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