Nonlinear uncertainty model of a magnetic suspension system
The nonlinear identification of a nominal model as well as the uncertainty bounds of a magnetic suspension system is developed. This system has a nonsymmetric dynamic behavior; it has an undershoot but not an overshoot. The proposed model structure is a cascade of a global linear fuzzy dynamic block...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2004 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/106324 |
| Acceso en línea: | http://hdl.handle.net/11336/106324 |
| Access Level: | acceso abierto |
| Palabra clave: | Nonlinear system identification Uncertain systems Fuzzy logic Piecewise linear functions https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
| Sumario: | The nonlinear identification of a nominal model as well as the uncertainty bounds of a magnetic suspension system is developed. This system has a nonsymmetric dynamic behavior; it has an undershoot but not an overshoot. The proposed model structure is a cascade of a global linear fuzzy dynamic block followed by a piecewise linear function. This model structure allows a proper identification of the system dynamic and a tight description of the uncertainties. |
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