%0 Journal Article
%T Control adaptativo basado en m¨ªnima varianza y filtro de Kaiman
%A Carlos David Zuluaga R¨ªos
%A Eduardo Giraldo
%J Tecnura
%D 2013
%I Distrital Francisco Jose de Caldas University
%X This paper presents a methodology for designing a minimum variance control- (MVC) and Kalman filter- (KF) based adaptive system. MVC is a technique of great interest, and it is widely used because it can reduce either energy or material consumption, or else, it can increase production performance. The Kalman filter is a recursive method that provides stochastic support for adaptive systems, showing feasibility and good results for dynamic system identification. The methodology implementation was conducted in a multiplatform integrated development environment called Qt Creator Qt 4.7-based, yielding good results when applied to the reference tracking problem. Moreover, it can be observed that the adaptive control scheme exhibits good settling times and notoriously appropriate overshoots.
%K Adaptive control
%K parameter estimation
%K Kalman filter.
%U http://tecnura.udistrital.edu.co/ojs/index.php/revista/article/view/536/505