State space second order filter estimation



Document title: State space second order filter estimation
Journal: Revista mexicana de física
Database: PERIÓDICA
System number: 000362705
ISSN: 0035-001X
Authors: 1
Institutions: 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
Year:
Season: Jun
Volumen: 59
Number: 3
Pages: 254-257
Country: México
Language: Inglés
Document type: Artículo
Approach: Analítico, teórico
English abstract 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
Keyword: 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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