| dc.contributor | Universidade Estadual Paulista (UNESP) | |
| dc.creator | Chavarette, Fábio Roberto | |
| dc.creator | Guilherme, Ivan Rizzo | |
| dc.creator | Mohammadian, M | |
| dc.date | 2013-09-30T18:50:28Z | |
| dc.date | 2014-05-20T14:16:20Z | |
| dc.date | 2016-10-25T17:39:27Z | |
| dc.date | 2013-09-30T18:50:28Z | |
| dc.date | 2014-05-20T14:16:20Z | |
| dc.date | 2016-10-25T17:39:27Z | |
| dc.date | 2008-01-01 | |
| dc.date.accessioned | 2017-04-05T22:21:27Z | |
| dc.date.available | 2017-04-05T22:21:27Z | |
| dc.identifier | 2008 International Conference on Computational Intelligence For Modelling Control & Automation, Vols 1 and 2. New York: IEEE, p. 756-760, 2008. | |
| dc.identifier | http://hdl.handle.net/11449/24916 | |
| dc.identifier | http://acervodigital.unesp.br/handle/11449/24916 | |
| dc.identifier | WOS:000277076500131 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/869873 | |
| dc.description | This paper presented the particle swarm optimization approach for nonlinear system identification and for reducing the oscillatory movement of the nonlinear systems to periodic orbits. We analyzes the non-linear dynamics in an oscillator mechanical and demonstrated that this model has a chaotic behavior. Chaos control problems consist of attempts to stabilize a chaotic system to an equilibrium point, a periodic orbit, or more general, about a given reference trajectory. This approaches is applied in analyzes the nonlinear dynamics in an oscillator mechanical. The simulation results show the identification by particle swarm optimization is very effective. | |
| dc.language | eng | |
| dc.publisher | IEEE | |
| dc.relation | 2008 International Conference on Computational Intelligence For Modelling Control & Automation, Vols 1 and 2 | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.title | Swarm Control Designs applied to a Mechanical Oscillator | |
| dc.type | Otro | |
