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Communication Dans Un Congrès Année : 2017

Comparison between two state estimation techniques for linear systems

Dory Merhy
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Teodoro Alamo
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Eduardo F Camacho
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Résumé

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.
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Dates et versions

hal-01562848 , version 1 (30-08-2019)

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  • HAL Id : hal-01562848 , version 1

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Dory Merhy, Cristina Stoica Maniu, Teodoro Alamo, Eduardo F Camacho, Sofiane Ben Chabane. Comparison between two state estimation techniques for linear systems. Preprints of the 20th World Congress of the International Federation of Automatic Control, Jul 2017, Toulouse, France. ⟨hal-01562848⟩
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