The purpose of this paper is to study the dynamics of fisheries resources with reserve area, in the presence of bird predators. Aquatic area under investigation is divided into two areas : one for the free fishing and other limited for any type of fishing. In the project harvesting system according to the modified E effort is considered, which depends on the effect of resource density. The local and stability criteria, the overall stability and instability are established for the project model. Finally, the theoretical results are illustrated by numerical simulations in the last section.
Radio Cognitive (RC) is the new concept introduced to improve spectrum utilization in wireless communication and present important research field to resolve the spectrum scarcity problem. The powerful ability of CR to change and adapt its transmit parameters according to environmental sensed parameters, makes CR as the leading technology to manage spectrum allocation and respond to QoS provisioning. In this paper, we assume that the radio environment has been sensed and that the SU specifies QoS requirements of the wireless application. We use genetic algorithm (GA) and propose crossover method called Combined Single-Heuristic Crossover. The weighted sum multi-objective approach is used to combine performance objectives functions discussed in this paper and BER approximate formula is considered.
A. KAILILT*, N. M R A N I~, M. MLIHA TOUATI~, S. CHOUKRI~ and N. ELALAMI~ Fractional Order Control methods were applied to a three-axis reaction wheels satellite attitude control system. To show the advantages of this method, a comparative study between a Linear Quadratic Regulator and a Fractional Order Control was established through two principal fractional control laws. The aim is to establish an efJicient control law which satisJies a given speczjication and maintains su-cient stability and accuracy even under the strong efects of intrinsic parameters uncertainties, and also external perturbations.
In this paper, the problem of global state regulation via output feedback is investigated to study a structured fishing model, in order to stabilize its states around a non-trivial equilibrium. In our case, the two stages of the juvenile and adults ages of fish population are considered. In order to apply the tools of automatic control to our model, the fishing effort is used as a control term, the age classes as a states and the quantity of captured fish per unit of effort as a measured output. A Lyapunov function is adapted to study the stability and stabilization of the studied system around the non-trivial steady states. Numerical example demonstrates the effectiveness and the convergence of the states to the equilibrium.
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