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Title |
Software Sensor for a Harvested Fish Population Model |
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Author |
El Houssine El Mazoudi, Mustapha Mrabti, Nouma Znaidi, Noureddine Elalami |
| Citation |
Vol. 7 No. 11 pp. 163-172 |
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Abstract |
This paper deals with the problem of software sensor (state estimation) to study the uncertain continuous age-structured model of a harvested fish population, in order to get an estimation of the biomass of fishes by age class. In our case the fishing effort is considered as a control term, the age classes as a states and the quantity of captured fish as a measured output. We formulate the observer corresponding to this system and show its asymptotic convergence. With the Lie derivative transformation, we show that the model can be transformed to a canonical observable form; then we give the explicit gain of the estimation. The considered model is nonlinear and contains an unknown function, which is supposed to be bounded. The proposed observer do not assume or require any model for this function and is very successful for accurately estimating it. The simulation results demonstrate the effectiveness of the proposed method. |
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Keywords |
uncertain stage structured model, Fishery system, Software sensor, High gain observer |
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