Software Sensor for a Harvested Fish Population Model

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 the 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. The authors formulate the observer corresponding to this system and show its asymptotic convergence. With the Lie derivative transformation, they show that the model can be transformed to a canonical observable form; then they give the explicit gain of the estimation. The considered model is nonlinear and contains an unknown function, which is supposed to be bounded.