Control Algorithms for Chaotic Systems

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

Files in this item

Files	Size	Format	View
There are no files associated with this item.