Show simple item record

Title

Comparing performance on chaos control via adaptive output-feedback

dc.contributor.authorFemat Flores, Alejandro Ricardo
dc.contributor.authorHernández Rosales, Crescencio
dc.date.accessioned2018-07-11T18:29:28Z
dc.date.available2018-07-11T18:29:28Z
dc.date.issued2006
dc.identifier.urihttp://hdl.handle.net/11627/3993
dc.description.abstract"Performance of four controllers is experimentally compared and evaluated in context of chaos suppression. Four output-feedback controllers are used in experi- ments for comparison. First three schemes utilize an adaptive observer to estimate the states and parameter required for feeding back and with different techniques, which are: (i) feedback linearization, (ii) backstepping, and (iii) sliding mode. The fourth scheme is a (low-parameterized) robust adaptive feedback. A simple class of dynamical systems that exhibit chaotic behavior, called P-class, is considered as benchmark due to involves distinct chaotic systems. The need of comparison is motivated to ask: What is the suitable adaptive scheme to suppress chaos in an specific implementation? Results show a trend on different applications, are illustrated experimentally by means circuits, and are discussed in terms of control effort. This comparative study is important to select a feedback scheme in specific implementations; for example, synchronization of complex networks."
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectChaos suppression
dc.subjectAdaptive observers
dc.subjectControlled nonlinear dynamics
dc.subject.classificationMATEMÁTICAS
dc.titleComparing performance on chaos control via adaptive output-feedback
dc.typearticle
dc.rights.accessAcceso Abierto


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional