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H∞ design to generalize internal model control

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dc.contributor.authorDehghani, Arvin
dc.contributor.authorLanzon, Alexander
dc.contributor.authorAnderson, Brian
dc.date.accessioned2015-12-07T22:16:55Z
dc.date.issued2006
dc.date.updated2015-12-07T07:59:08Z
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.identifier.issn0005-1098
dc.identifier.urihttp://hdl.handle.net/1885/18273
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.bibliographicCitation.issue11
local.bibliographicCitation.lastpage1968
local.bibliographicCitation.startpage1959
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.contributor.authoruidDehghani, Arvin, u3995558
local.contributor.authoruidLanzon, Alexander, u4046013
local.contributor.authoruidAnderson, Brian, u8104642
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor010203 - Calculus of Variations, Systems Theory and Control Theory
local.identifier.ariespublicationu3357961xPUB4
local.identifier.citationvolume42
local.identifier.doi10.1016/j.automatica.2006.06.007
local.identifier.scopusID2-s2.0-33748922787
local.type.statusPublished Version

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