Multimodel software sensor for a harvested fish population system
by Achraf Ait Kaddour; El Houssine El Mazoudi; Noureddine Elalami
International Journal of Modelling, Identification and Control (IJMIC), Vol. 19, No. 1, 2013

Abstract: In this work, we deal with the stock estimation problem for a harvested fish population described by a continuous stage structured model. In this model, the fishing effort is considered as a control term, the stage classes as states and the quantity of captured fish as a measured output. The goal of this paper is to show how some techniques from non-linear control theory combined with fuzzy systems theory can be applied for the approximate estimation of the immeasurable state variables using only the observed data together with the dynamical model describing the evolution of the system. To achieve this objective, we use first a Takagi-Sugeno multimodel to represent the continuous non-linear model. Next, we develop a technique for designing a multimodel observer corresponding to this system and show its asymptotic convergence. The design conditions are given in linear matrix inequalities (LMI) terms that can be solved efficiently using existing numerical tools. The simulation results demonstrate the effectiveness of the proposed method.

Online publication date: Sat, 27-Sep-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com