NON-DETERMINISTIC MODELLING AND ITS APPLICATION IN ADAPTIVE OPTIMAL CONTROL

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dc.contributor.authorWitten, Ian H.eng
dc.date.accessioned2008-02-27T22:24:13Z
dc.date.available2008-02-27T22:24:13Z
dc.date.computerscience1999-05-27eng
dc.date.issued1982-04-01eng
dc.description.abstractA problem which occurs in every branch of system theory is the conflict between data acquisition for system identification and systeM control towards some objective. The appropriate actions for identification are rarely those most appropriate for control, and yet in most real system studies control actions cannot be determined properly without some prior identification. The need to balance the costs of further exploratory activity against the costs of poor system knowledge creates a basic conflict that cannot be avoided. This conflict is succinctly expressed in the two-armed bandit problem, which has therefore received a great deal of attention since it was formulated three decades ago. A useful toolkit of techniques has been accumulated to attack the problem under various realistic constraints, such as finite memory of past history, finite complexity in terms of state count, and finite time.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1982-96-15eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/31173
dc.identifier.urihttp://hdl.handle.net/1880/46119
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleNON-DETERMINISTIC MODELLING AND ITS APPLICATION IN ADAPTIVE OPTIMAL CONTROLeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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