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This paper presents the procedure of tuning and simulation of an adaptive predictive control strategy to control the longitudinal and latero-directional movements of a unmanned aerial vehicle (UAV), using the Matlab ® - Simulink® platform. Uses the mathematical model of a UAV which are initially performed simulations of the system in open loop, identification is carried on online, and predictive control and PID controllers algorithms are implemented with the parameters obtained, to control the angle of pitch, roll and yaw. Control strategies used presented a good performance and manage to stabilize the aircraft properly. Finally, they are presented and analyzed the results of the performance of the system with predictive control and PID control using metrics of the integral of the error and of the work of the manipulated variable. [ABSTRACT FROM AUTHOR]

In this paper we present the research results that conducted to address the problem of associating a user to a wireless access point (AP) in a multicell 802.11 network in which service a large number of users, each user selfishly is connected to the access point that allows it to guarantee a minimum data transfer rate, determined arbitrarily by the user required service. To do this, the interactions are modeled on the wireless network as a non-cooperative game, then the satisfaction equilibrium concept (SE) is introduced and the algorithm to solve the problem of association under this concept is proposed; finally we illustrate the simulation results obtained in a network scenario where, for simplicity and without loss of generality two users and two access points are assumed. [ABSTRACT FROM AUTHOR]

The paper shows a dynamic replicator implementation in R Language to analyze and simulate the cultural and behavioral features of society with an evolutionary model used by the biological science. The algorithm is a solution by finite difference method of Bowles and Ginti's version of dynamic replicator, it allows the researcher to use it to model different situations, with only define the probability functions of contact and interaction between groups and payment functions. We decide to use R Language despite its use as statistical tool, because allows to model different problems also it is accessible to people without formal education in computing. [ABSTRACT FROM AUTHOR]

This paper presents a methodology to reduce energy losses in primary distribution networks, considering a combined algorithm which involves the optimal reconfiguration of the system and phase balance. The mathematical model is nonlinear mixed integer, which takes into account the investment and operating costs of the network, subject to a set of technical constraints imposed by the system. To solve the problem of reconfiguration and phase balance algorithms are used Simulated Annealing and Ant Colony, respectively. The algorithm is tested on IEEE 37 node feeder. [ABSTRACT FROM AUTHOR]

This paper presents a methodology for solving secondary distribution systems planning problem as a mixed integer linear programming problem (MILP). The algorithm takes into account several design issues such as the capacity and location of distribution transformers and secondary feeders. Variable costs of secondary feeders are also considered. The problem is solved using branch and bound algorithm. Numerical results show that the mathematical model and the solution technique are effective for this kind of problems. [ABSTRACT FROM AUTHOR]