Please use this identifier to cite or link to this item: https://doi.org/10.1109/TAC.2003.817003
DC FieldValue
dc.titleComments on "A Composite Energy Function-Based Learning Control Approach for Nonlinear Systems with Time-Varying Parametric Uncertainties"
dc.contributor.authorDixon, W.E.
dc.contributor.authorChen, J.
dc.contributor.authorXu, J.-X.
dc.contributor.authorTan, Y.
dc.date.accessioned2014-06-18T06:10:31Z
dc.date.available2014-06-18T06:10:31Z
dc.date.issued2003-09
dc.identifier.citationDixon, W.E., Chen, J., Xu, J.-X., Tan, Y. (2003-09). Comments on "A Composite Energy Function-Based Learning Control Approach for Nonlinear Systems with Time-Varying Parametric Uncertainties". IEEE Transactions on Automatic Control 48 (9) : 1671-1674. ScholarBank@NUS Repository. https://doi.org/10.1109/TAC.2003.817003
dc.identifier.issn00189286
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/68174
dc.description.abstractIn the above paper, a composite energy function learning control approach was proposed to asymptotically eliminate the mismatch between the desired and actual periodic trajectory of a system. Upon review of this result, there appear to be several philosophical and technical issues that invalidate the result including the use of a resetting condition and the lack of boundedness of the learning estimate. The Intent of this comment is to highlight these technical errors, especially since the boundedness of the learning estimate has historically been a problematic issue.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TAC.2003.817003
dc.sourceScopus
dc.subjectLearning systems
dc.subjectLyapunov methods
dc.subjectPeriodic systems
dc.typeReview
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TAC.2003.817003
dc.description.sourcetitleIEEE Transactions on Automatic Control
dc.description.volume48
dc.description.issue9
dc.description.page1671-1674
dc.description.codenIETAA
dc.identifier.isiut000185338400025
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