<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">A. T. Salton</style></author><author><style face="normal" font="default" size="100%">D. Eckhard</style></author><author><style face="normal" font="default" size="100%">J. V. Flores</style></author><author><style face="normal" font="default" size="100%">G. Fernandes</style></author><author><style face="normal" font="default" size="100%">G. Azevedo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Disturbance observer and nonlinear damping control for fast tracking quadrotor vehicles</style></title><secondary-title><style face="normal" font="default" size="100%">2016 IEEE Conference on Control Applications (CCA)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">CNF controller</style></keyword><keyword><style  face="normal" font="default" size="100%">composite nonlinear feedback controller</style></keyword><keyword><style  face="normal" font="default" size="100%">control system synthesis</style></keyword><keyword><style  face="normal" font="default" size="100%">Control systems</style></keyword><keyword><style  face="normal" font="default" size="100%">damping</style></keyword><keyword><style  face="normal" font="default" size="100%">discrete time systems</style></keyword><keyword><style  face="normal" font="default" size="100%">discrete-time fast tracking controller design</style></keyword><keyword><style  face="normal" font="default" size="100%">disturbance rejection</style></keyword><keyword><style  face="normal" font="default" size="100%">fast tracking quadrotor vehicles</style></keyword><keyword><style  face="normal" font="default" size="100%">feedback</style></keyword><keyword><style  face="normal" font="default" size="100%">helicopters</style></keyword><keyword><style  face="normal" font="default" size="100%">least square identification method</style></keyword><keyword><style  face="normal" font="default" size="100%">least squares approximations</style></keyword><keyword><style  face="normal" font="default" size="100%">Mathematical model</style></keyword><keyword><style  face="normal" font="default" size="100%">model-based disturbance observer</style></keyword><keyword><style  face="normal" font="default" size="100%">nonlinear control systems</style></keyword><keyword><style  face="normal" font="default" size="100%">nonlinear damping control</style></keyword><keyword><style  face="normal" font="default" size="100%">observers</style></keyword><keyword><style  face="normal" font="default" size="100%">perturbation techniques</style></keyword><keyword><style  face="normal" font="default" size="100%">perturbations</style></keyword><keyword><style  face="normal" font="default" size="100%">Sensors</style></keyword><keyword><style  face="normal" font="default" size="100%">track following problems</style></keyword><keyword><style  face="normal" font="default" size="100%">Vehicle dynamics</style></keyword><keyword><style  face="normal" font="default" size="100%">Vehicles</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Sept</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Buenos Aires</style></pub-location><pages><style face="normal" font="default" size="100%">705–710</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This paper considers the design and implementation of a discrete-time fast tracking controller for quadrotor vehicles subject to perturbations. The proposed controller consists of a model-based disturbance observer and a Composite Nonlinear Feedback (CNF) controller. The CNF control law introduces nonlinear damping to the system so that it possesses a fast rise time without overshoot. The least square identification method is applied to develop a model based disturbance observer, thus decoupling the problems of track following and disturbance rejection. Experimental results are provided in order to validate the proposed approach.&lt;/p&gt;
</style></abstract><notes><style face="normal" font="default" size="100%">n/a</style></notes></record></records></xml>