Control Algorithms for Chaotic Systems
dc.date.accessioned | 2004-10-04T14:25:27Z | |
dc.date.accessioned | 2018-11-24T10:11:24Z | |
dc.date.available | 2004-10-04T14:25:27Z | |
dc.date.available | 2018-11-24T10:11:24Z | |
dc.date.issued | 1991-03-01 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/5985 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/5985 | |
dc.description.abstract | 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. | en_US |
dc.format.extent | 21 p. | en_US |
dc.format.extent | 3522928 bytes | |
dc.format.extent | 1357363 bytes | |
dc.language.iso | en_US | |
dc.subject | chaos | en_US |
dc.subject | nonlinear dynamics | en_US |
dc.subject | control | en_US |
dc.subject | scientific computation | en_US |
dc.title | Control Algorithms for Chaotic Systems | en_US |
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