Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
Quadrotor Black-Box System Identification
Authors: Ionel Stanculeanu, Theodor Borangiu
Abstract:
This paper presents a new approach in the identification of the quadrotor dynamic model using a black-box system for identification. Also the paper considers the problems which appear during the identification in the closed-loop and offers a technical solution for overcoming the correlation between the input noise present in the output
Keywords: System identification, UAV, prediction error method, quadrotor.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1085089
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[1] Anuj Puri , A Survey of Unmanned Aerial Vehicles (UAV) for Traffic Surveillance, CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
[2] M.C.L. Patterson, A. Mulligan, J. Douglas, J. Robinson and L. Wardell. Volcano Surveillance by ACR Silver Fox, AIAA 2005 - 6954
[3] S. Bouabdallah, R. Siegwart, Full control of a quadrotor, Intelligent Robots and Systems. IROS 2007. IEEE/RSJ International Conference
[4] P. Castillo, A. Dzul, R. Lozano, Real-time stabilization and tracking of a four-rotor mini rotorcraft, Control Systems Technology, IEEE Transactions, July 2004, pages: 510 - 516
[5] L. Ljung, System Identification: Theory for the User.2nd Edition, Prentice Hall PTR 1999