Composite model reference adaptive control with parameter convergence under finite excitation

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dc.contributor.authorCho, Namhoon
dc.contributor.authorShin, Hyosang
dc.contributor.authorKim, Youdan
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2017-10-10T14:32:58Z
dc.date.available2017-10-10T14:32:58Z
dc.date.issued2017-08-09
dc.description.abstractA new parameter estimation method is proposed in the framework of composite model reference adaptive control for improved parameter convergence without persistent excitation. The regressor filtering scheme is adopted to perform the parameter estimation with signals that can be obtained easily. A new framework for residual signal construction is proposed. The incoming data is first accumulated to build the information matrix, and then its quality is evaluated with respect to a chosen measure to select and store the best one. The information matrix is built to have full rank after sufficient but not persistent excitation. In this way, the exponential convergence of both tracking error and parameter estimation error can be guaranteed without persistent oscillation in the external command which drives the system. Numerical simulations are performed to verify the theoretical findings and to demonstrate the advantages of the proposed adaptation law over the standard direct adaptation law.en_UK
dc.identifier.citationCho N, Shin H, Kim Y, Tsourdos A, Composite model reference adaptive control with parameter convergence under finite excitation, IEEE Transactions on Automatic Control, Vol. 63, Issue 3, March 2018, pp. 811-818en_UK
dc.identifier.issn0018-9286
dc.identifier.urihttp://dx.doi.org/10.1109/TAC.2017.2737324
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12609
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectUncertaintyen_UK
dc.subjectAdaptive controlen_UK
dc.subjectParameter estimationen_UK
dc.subjectAdaption modelsen_UK
dc.subjectRobustnessen_UK
dc.subjectConvergenceen_UK
dc.subjectSymmetric matricesen_UK
dc.titleComposite model reference adaptive control with parameter convergence under finite excitationen_UK
dc.typeArticleen_UK

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