State Estimation of a Nonlinear Unmanned Aerial Vehicle Model using an Extended Kalman Filter

6533b884fe1ef96bd12dec2e

RESEARCH PRODUCT

State Estimation of a Nonlinear Unmanned Aerial Vehicle Model using an Extended Kalman Filter

Francesco Alonge Tommaso Cangemi Caterina Grillo Francesco Paolo Vitrano Filippo D'ippolito

subject

year	journal	country	edition	language
2006-01-01

http://hdl.handle.net/10447/33011

PEPhysical Sciences and Engineering
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