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contributor authorI. D. Landau
date accessioned2017-05-08T23:10:44Z
date available2017-05-08T23:10:44Z
date copyrightDecember, 1981
date issued1981
identifier issn0022-0434
identifier otherJDSMAA-26069#404_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/94337
description abstractThe control objectives for Model Reference Adaptive Control Systems (MRAC) are specified in terms of a reference model. The control objectives for Stochastic Self-Tuning Regulators (S-STURE) are specified in terms of an ARMA model. These two types of adaptive control systems share a common characteristic (duality). This duality extends the one existing in the linear case with known parameters between modal control (pole-placement) and minimum variance control. Based on the duality properties, a unified presentation of the two techniques is possible; the S-STURE being interpreted as a stochastic MRAC. The underlying concepts and the structure of these adaptive control systems are described. The available theoretical results concerning the analysis of these systems are briefly reviewed. The primary domain of application of these techniques are indicated. An overview of the unsolved problems concludes the paper.
publisherThe American Society of Mechanical Engineers (ASME)
titleModel Reference Adaptive Controllers and Stochastic Self-Tuning Regulators—A Unified Approach
typeJournal Paper
journal volume103
journal issue4
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.3139683
journal fristpage404
journal lastpage416
identifier eissn1528-9028
treeJournal of Dynamic Systems, Measurement, and Control:;1981:;volume( 103 ):;issue: 004
contenttypeFulltext


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