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Titlebook: Quad Rotorcraft Control; Vision-Based Hoverin Luis Rodolfo García Carrillo,Alejandro Enrique Dzu Book 2013 Springer-Verlag London 2013 Nonl

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Hovering Flight Improvement, robust with respect to external disturbances. Experimental results for indoor tests are presented to show how this additional control loop improves the performance of the quad-rotor attitude stability.
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Modeling the Quad-Rotor Mini-Rotorcraft,e quad-rotor modeling is addressed using two different approaches: Euler–Lagrange and Newton–Euler. How to derive Lagrange’s equations from Newton’s equations is also shown. Finally, the author presents also the Newton–Euler modeling for an “X-Flyer” quad-rotor configuration.
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Hovering Flight Improvement,st components and includes an extra control loop based on motor armature current feedback. The control strategy presented here is a controller that is robust with respect to external disturbances. Experimental results for indoor tests are presented to show how this additional control loop improves t
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Imaging Sensors for State Estimation,heoretical background concerning computer vision is given in first instance. The pinhole camera model as well as the camera calibration procedure is shown. Stereo imaging, together with a method for stereo calibration and rectification are presented also. The concept of optical flow and a method for
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Vision-Based Control of a Quad-Rotor UAV,ography estimation technique and an optical flow computation. Using this approach, a comparison of three control methods is addressed, with the purpose of validating the most effective approach for stabilizing the vehicle when using visual feedback. In the second strategy, the vision system is imple
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