An adaptive control structure combining model reference adaptive controllers and stochastic self-tuning regulators

Simple item page
dc.contributorGraduate Program in Electrical and Electronic Engineering.
dc.contributor.advisorIstefanopulos, Yorgo.
dc.contributor.authorKerestecioğlu, Feza, 1961- .
dc.date.accessioned2023-03-16T10:21:41Z
dc.date.available2023-03-16T10:21:41Z
dc.date.issued1985.
dc.description.abstractDiscrete-time model reference adaptive controllers for single-input single-output minimum -phase plants in deterministic environment are studied. Both explicit and implicit reference models are considered. Similarities and dualities between the model reference adaptive controllers and stochastic self-tuning regulators are indicated and the behaviour of model reference adaptive controllers in stochastic environment is analyzed. Finally, an adaptive control structure combining model reference adaptive controllers and stochastic self-tuning regulators is discussed, which is suitable for regulation and tracking objectives in both deterministic and stochastic environment. Simulations on a digital computer are done to justify theoretical results and investigate various features of the adaptive control structures mentioned.
dc.format.extent30 cm.
dc.format.pagesxix, 121 leaves;
dc.identifier.otherEE 1985 K45
dc.identifier.urihttps://digitalarchive.library.bogazici.edu.tr/handle/123456789/13036
dc.publisherThesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1985.
dc.relationIncludes appendices.
dc.relationIncludes appendices.
dc.subject.lcshAdaptive control systems.
dc.subject.lcshSelf-tuning controllers.
dc.titleAn adaptive control structure combining model reference adaptive controllers and stochastic self-tuning regulators

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
b1164796.017386.001.PDF
Size:
2.86 MB
Format:
Adobe Portable Document Format
Download

Collections

M.S. Theses