A non Linear Observer for a fishery model

Aboudramane Guiro 1, 2 Abderrahman Iggidr 1 Diène Ngom 1, 3 Hamidou Touré 2
1 MASAIE - Tools and models of nonlinear control theory for epidemiology and immunology
LMAM - Laboratoire de Mathématiques et Applications de Metz, Inria Nancy - Grand Est, IECL - Institut Élie Cartan de Lorraine
2 LAME - Laboratoire d'Analyse Mathématique des Equations
3 LANI - Laboratoire d'Analyse Numérique et Informatique [Sénégal]
Abstract : The aim of this paper is to apply some tools of observability theory to an age-structured model of a harvested fish population in order to estimate the stock state. We construct an observer that uses the data of caught fish and gives a dynamical estimation of the number of fish by stage.
Keywords : Parameter and state estimation Nonlinear systems Observers State estimation High-gain Population dynamics Management of natural resources Natural and environmental systems Parameter and state estimation.
Type de document :
Communication dans un congrès
Chung, Myung Jin; Misra, Pradeep. the 17th Triennal IFAC World Congress, Jul 2008, Seoul, South Korea. pp.676--681, 2008, Proc. the 17th Triennal IFAC World Congress. 〈10.3182/20080706-5-KR-1001.00114〉
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https://hal.inria.fr/inria-00595309
Contributeur : Abderrahman Iggidr <>
Soumis le : mardi 24 mai 2011 - 14:23:02
Dernière modification le : jeudi 7 février 2019 - 13:44:01

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Aboudramane Guiro, Abderrahman Iggidr, Diène Ngom, Hamidou Touré. A non Linear Observer for a fishery model. Chung, Myung Jin; Misra, Pradeep. the 17th Triennal IFAC World Congress, Jul 2008, Seoul, South Korea. pp.676--681, 2008, Proc. the 17th Triennal IFAC World Congress. 〈10.3182/20080706-5-KR-1001.00114〉. 〈inria-00595309〉

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