State space second order filter estimation



Título del documento: State space second order filter estimation
Revista: Revista mexicana de física
Base de datos: PERIÓDICA
Número de sistema: 000362705
ISSN: 0035-001X
Autors: 1
Institucions: 1Instituto Politécnico Nacional, Centro de Investigación en Computación, México, Distrito Federal. México
2Instituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica, México, Distrito Federal. México
Any:
Període: Jun
Volum: 59
Número: 3
Paginació: 254-257
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, teórico
Resumen en inglés The second order stochastic filter is based on difference models with uncorrelated innovation conditions structured in state space having stationary properties through a surface with bounded drift around the mean value. This allows building recursive estimation without generality lost and basic properties over the stochastic state space surface with unknown gains viewed as a black-box scheme. The spatial region generated gave an approximation to real parametres set with a sufficient convergence rate in a probability sense. The results were applied in adaptive identification states with a high convergence rate, observed in the functional error described illustratively in simulations. This technique was developed over the smooth slide surface having advantages over other traditional filters
Disciplines Física y astronomía,
Matemáticas
Paraules clau: Física,
Matemáticas puras,
Estimación de estado-espacio,
Mínimos cuadrados,
Variable instrumental,
Probabilidad,
Razón de convergencia
Keyword: Physics and astronomy,
Mathematics,
Physics,
Pure mathematics,
State space estimation,
Least squares,
Instrumental variable,
Probability,
Convergence rate
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