Quadrotor attitude estimation with gyroscope bias reconstruction capabilities
Author:
Publisher
Elsevier BV
Subject
Control and Systems Engineering
Reference17 articles.
1. Avram, R.C. and Zhang, X.D. (2015). IMU Sensor Fault Diagnosis and Estimation for Quadrotor UAVs. In 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes.
2. Chang, J., Cieslak, J., Davila, J., Zolghadri, A., and Zhou, J. (2016). Adaptive Sliding Mode Observer for Quadrotor Attitude Estimation
3. Chang, J., Cieslak, J., Zolghadri, A., Davila, J., and Zhou, J. (2015). Design of sliding mode observers for quadro-tor pitch/roll angle estimation via IMU measurements.
4. Sensor fault diagnosis using a non-homogeneous high-order sliding mode observer with application to a transport aircraft;Ferreira de Loza;IET Control Theory & Applications,2015
5. Implementation of a Nonlinear Attitude Estimator for Aerial Robotic Vehicles;Hua;IEEE Transactions on Control Systems Technology,2014
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