Control Algorithms for Chaotic Systems

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5985

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DC Field	Value	Language
dc.creator	Bradley, Elizabeth	-
dc.date	2004-10-04T14:25:27Z	-
dc.date	2004-10-04T14:25:27Z	-
dc.date	1991-03-01	-
dc.date.accessioned	2013-10-09T02:42:12Z	-
dc.date.available	2013-10-09T02:42:12Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1278	-
dc.identifier	http://hdl.handle.net/1721.1/5985	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	This paper presents techniques that actively exploit chaotic behavior to accomplish otherwise-impossible control tasks. The state space is mapped by numerical integration at different system parameter values and trajectory segments from several of these maps are automatically combined into a path between the desired system states. A fine-grained search and high computational accuracy are required to locate appropriate trajectory segments, piece them together and cause the system to follow this composite path. The sensitivity of a chaotic system's state-space topology to the parameters of its equations and of its trajectories to the initial conditions make this approach rewarding in spite of its computational demands.	-
dc.format	21 p.	-
dc.format	3522928 bytes	-
dc.format	1357363 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1278	-
dc.subject	chaos	-
dc.subject	nonlinear dynamics	-
dc.subject	control	-
dc.subject	scientific computation	-
dc.title	Control Algorithms for Chaotic Systems	-
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