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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5985| Title: | Control Algorithms for Chaotic Systems |
| Keywords: | chaos nonlinear dynamics control scientific computation |
| Issue Date: | 9-Oct-2013 |
| 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. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AIM-1278 http://hdl.handle.net/1721.1/5985 |
| Appears in Collections: | MIT Items |
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