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Challenges of Adaptive Control-Past, Permanent and Future

Anderson, Brian; Dehghani, Arvin

Description

This paper reviews three different types of challenges to adaptive control. The first group comprises challenges met in the subject's development. They include difficulties associated with the MIT rule, bursting, the Rohr's counterexample and unplanned instability in iterative identification and control. An understanding of these phenomena and mitigating strategies are now available. The second group comprises difficulties that are intrinsic to virtually any adaptive control algorithm, and that...[Show more]

dc.contributor.authorAnderson, Brian
dc.contributor.authorDehghani, Arvin
dc.date.accessioned2015-12-07T22:44:01Z
dc.date.available2015-12-07T22:44:01Z
dc.identifier.issn1367-5788
dc.identifier.urihttp://hdl.handle.net/1885/25033
dc.description.abstractThis paper reviews three different types of challenges to adaptive control. The first group comprises challenges met in the subject's development. They include difficulties associated with the MIT rule, bursting, the Rohr's counterexample and unplanned instability in iterative identification and control. An understanding of these phenomena and mitigating strategies are now available. The second group comprises difficulties that are intrinsic to virtually any adaptive control algorithm, and that have frequently been overlooked. For example, if a plant is unknown, and a control objective is set, the objective may in practical terms be unachievable, and any adaptive control algorithm needs to deal with that possibility. The third group comprises some issues to which researchers are currently devoting significant attention, including multiple model adaptive control and model-free design.
dc.publisherElsevier
dc.sourceAnnual reviews in Control
dc.subjectKeywords: Adaptive algorithms; Adaptive systems; Control systems; Control theory; Identification (control systems); Light measurement; A plants; Adaptive control; Adaptive control algorithms; Adaptive controls; And models; Control objectives; Iterative identificati Adaptive control; Adaptive systems; Model-free design; Multiple model adaptive control
dc.titleChallenges of Adaptive Control-Past, Permanent and Future
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume32
dc.date.issued2008
local.identifier.absfor091302 - Automation and Control Engineering
local.identifier.ariespublicationu2505865xPUB36
local.type.statusPublished Version
local.contributor.affiliationAnderson, Brian, College of Engineering and Computer Science, ANU
local.contributor.affiliationDehghani, Arvin, College of Engineering and Computer Science, ANU
local.bibliographicCitation.startpage123
local.bibliographicCitation.lastpage135
local.identifier.doi10.1016/j.arcontrol.2008.06.001
dc.date.updated2016-02-24T09:51:01Z
local.identifier.scopusID2-s2.0-55549119575
local.identifier.thomsonID000261728300001
CollectionsANU Research Publications

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