Non parametric identifier for Parkinson's disease dynamics by fuzzy-genetic controller

Victor Ortiz, Cornelio Yáñez, Ángel Kuri, Ramon Miranda, Agustin Cabrera, Isaac Chairez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

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Resumen

Parkinson's disease often affects gait and mobility. To understand better the pathophysiology of this disease and to improve our ability to measure responses to therapeutic interventions, it may be helpful to control gait dynamics accurately. In to order to control this dynamics design to fuzzy controller, but the fuzzy identifier present to problem, in the heuristic selection of the values that describes the structure of the membership functions. To for numerical solution this disadvantage is the Genetic Algorithms. With this fuzzy-genetic controller it is managed to improve the dynamics of the disease of Parkinson's for his to better study in therapeutic interventions.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 18th IASTED International Conference on Modelling and Simulation, MS 2007
Páginas422-427
Número de páginas6
EstadoPublicada - 2007
Publicado de forma externa
Evento18th IASTED International Conference on Modelling and Simulation, MS 2007 - Montreal, QC, Canadá
Duración: 30 may. 20071 jun. 2007

Serie de la publicación

NombreProceedings of the IASTED International Conference on Modelling and Simulation
ISSN (versión impresa)1021-8181

Conferencia

Conferencia18th IASTED International Conference on Modelling and Simulation, MS 2007
País/TerritorioCanadá
CiudadMontreal, QC
Período30/05/071/06/07

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