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Abstract
In this thesis a framework was designed and tested to identify the parameters of a unmanned aerial vehicles.The framework was designed to be low in cost and to be accessible to be modi{uFB01}ed and customized. Tests were done on two small remotely piloted RC models. O{uFB04}ine Parameter identi{uFB01}cation was done using Hop{uFB01}eld neural network