In this paper three prime numbers are presented as high potentials to be Mersenne numbers and their application in computational primality testing is suggested. These numbers are constructed from a regression algorithm based on Support vector machines (SVM) and using a Gaussian Kernel. Data training is carried out using the Phyton programming language, In the study we address the current data of Mersenne primes and work with the Ova-angular classification group for Mersenne primes 31. [ABSTRACT FROM AUTHOR]
Quintero Castrillón, Carlos Manuel, López Lezama, Jesús María, and Muñoz Galeano, Nicolás
Subjects
*ELECTRIC power systems, *TEST systems, *ALGORITHMS
Abstract
This paper presents an algorithm oriented to improve the security conditions of electric power systems. The proposed algorithm performs a semi-exhaustive search of the possible configuration of the system substation with the objective of minimizing overloads presented in single contingencies (N-1 criterion). Topological modifications are made by changing the state of switches in substations. Results are presented for the IEEE 118 bus test system showing the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]
García Jaimes, Luis Eduardo, Jaimes, García, and Arroyave Giraldo, Maribel
Subjects
*PID controllers, *ADAPTIVE control systems, *PREDICTIVE control systems, *MATHEMATICAL models, *SIMULATION methods & models, *ALGORITHMS
Abstract
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]