Ponencia
Comparison between two state estimation techniqueds for linear systems
Autor/es | Merhy, D.
Stoica Maniu, Cristina Alamo, Teodoro Camacho, Eduardo F. Ben Chabane, S. |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2007 |
Fecha de depósito | 2020-04-07 |
Publicado en |
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Resumen | This paper presents a comparison in terms of accuracy and complexity between two
approaches used for state estimation of linear systems: a classic Kalman filter and a guaranteed
set-membership state estimation technique. ... This paper presents a comparison in terms of accuracy and complexity between two approaches used for state estimation of linear systems: a classic Kalman filter and a guaranteed set-membership state estimation technique. The main goal of this paper is to analyze the advantages of these techniques and to combine them in the future in a new accurate and simple extension that handles system uncertainties and chance constraints. Two academic examples illustrate the main differences between the compared techniques. |
Cita | Merhy, D., Stoica, C., Alamo, T., Camacho, E.F. y Ben Chabane, S. (2007). Comparison between two state estimation techniqueds for linear systems. En IFAC World Congress, Toulouse (Francia). |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Ifac2017.pdf | 433.3Kb | [PDF] | Ver/ | |