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Filtering in Gaussian linear systems with fuzzy switches

Zied Bouyahia 1 Stéphane Derrode 2 Wojciech Pieczynski 3, 4, 5 
2 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
5 TIPIC-SAMOVAR - Traitement de l'Information Pour Images et Communications
SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
Abstract : This work extends recent results on Conditionally Gaussian Observed Markov Switching Models (CGOMSM) by incorporating fuzzy switches in the model, instead of hard ones. This kind of generalization is of interest for applications involving continuous switching regimes, such as tracking an object using cameras in intermittent sunlight and shadow conditions. The filter developed hereby is recursive, optimal and exact, up to an approximation of integrals according to some fuzzy measure. Experiences on simulated and on real data-dealing with outdoor air temperature and power consumption of a building-confirm the accuracy and effectiveness of the proposed filter compared to the hard filter with 'crisp' switches.
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Submitted on : Friday, August 7, 2020 - 9:15:26 AM
Last modification on : Friday, September 30, 2022 - 11:34:16 AM
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Zied Bouyahia, Stéphane Derrode, Wojciech Pieczynski. Filtering in Gaussian linear systems with fuzzy switches. IEEE Transactions on Fuzzy Systems, Institute of Electrical and Electronics Engineers, 2020, 28 (8), pp.1760-1770. ⟨10.1109/TFUZZ.2019.2921944⟩. ⟨hal-02912919⟩



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