A set of practical experiments to validate the fuzzy Kalman filter
The Fuzzy Kalman Filter (FKF) was recently reformulated, with a number of basic examples included in order to demonstrate its applicability. We now look ahead to its practical implementation, introducing deep analysis which includes very detailed simulations and complete real applications. This will...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/340895 |
| Acceso en línea: | http://hdl.handle.net/10261/340895 |
| Access Level: | acceso abierto |
| Palabra clave: | Possibility theory Data fusion Fuzzy control Applications Robotics State estimation Kalman filter |
| Sumario: | The Fuzzy Kalman Filter (FKF) was recently reformulated, with a number of basic examples included in order to demonstrate its applicability. We now look ahead to its practical implementation, introducing deep analysis which includes very detailed simulations and complete real applications. This will allow us to not only validate the FKF but also to draw important conclusions which will help users in the adjustment of the fuzzy filter parameters and the choosing of possibilistic distributions. |
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