Sensor Anomaly Detection and Recovery in the Roll Dynamics of a Delta-Wing Aircraft via Monte Carlo and Maximum Likelihood Methods * *This work is supported by The Boeing Company-Reference-Cited by-同舟云学术

Sensor Anomaly Detection and Recovery in the Roll Dynamics of a Delta-Wing Aircraft via Monte Carlo and Maximum Likelihood Methods * *This work is supported by The Boeing Company

Published:2017-07 Issue:1 Volume:50 Page:12791-12796
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Deghat Mohammad,Lampiri Evangelia

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference37 articles.

1. Multiple model adaptive control using second level adaptation for a delta-wing aircraft;Ahmadian;International Journal of Intelligent Unmanned Systems,2015

2. A nonlinear observer-based strategy for aircraft oscillatory failure detection: A380 case study;Alcorta-Garcia;IEEE Transactions on Aerospace and Electronic Systems,2011

3. Fault detection and fault-tolerant control of a civil aircraft using a sliding-mode-based scheme;Alwi;IEEE Transactions on Control Systems Technology,2008

4. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking;Arulampalam;IEEE Transactions on signal processing,2002

5. Fault diagnosis and fault-tolerant control strategy for the Aerosonde UAV;Bateman;IEEE Transactions on Aerospace and Electronic Systems,2011

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