{"refrec":{"BRefID":294951,"RR":"<b>Mahony, R.; Beard, R.W.; Kumar, V.</b> (2016). Modeling and control of aerial robots, <b><i>in</i></b>: Siciliano, B. <i>et al.</i> <i>Springer handbook of robotics.</i> pp. 1307-1334. <a href=\"https://dx.doi.org/10.1007/978-3-319-32552-1_52\" target=\"_blank\">https://dx.doi.org/10.1007/978-3-319-32552-1_52</a>","BEntID":287022,"PublicFlag":1,"CheckedFlag":0,"wosflag":null,"vabbflag":null,"RefStringPartII":", <b><i>in</i></b>: Siciliano, B. <i>et al.</i> <i>Springer handbook of robotics.</i> pp. 1307-1334. <a href=\"https://dx.doi.org/10.1007/978-3-319-32552-1_52\" target=\"_blank\">https://dx.doi.org/10.1007/978-3-319-32552-1_52</a>","DocTypID":17,"DocType":"Book chapters","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Mahony, R.; Beard, R.W.; Kumar, V.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Mahony, R. <i>et al.</i>","Englishabstract":"Aerial robotic vehicles are becoming a core field in mobile robotics. This chapter considers some of the fundamental modelling and control architectures in the most common aerial robotic platforms; small-scale rotor vehicles such as the quadrotor, hexacopter, or helicopter, and fixed wing vehicles. In order to control such vehicles one must begin with a good but sufficiently simple dynamic model. Based on such models, physically motivated control architectures can be developed. Such algorithms require realisable target trajectories along with real-time estimates of the system state obtained from on-board sensor suite. 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