Title :
Method for predicting a failure risk of the UAV navigation systems
Author :
Chumachenko, O. ; Gorbatiuk, V.
Author_Institution :
Dept. of Tech. Cybern., Nat. Tech. Univ. of Ukraine KPI, Kiev, Ukraine
Abstract :
This paper introduces a new algorithm for predicting a failure risk of the UAV navigation systems using genetic algorithms, fuzzy rules and neural networks. This approach combines the advantages of fuzzy rules and neural networks such as interpretability and learning ability, while using genetic algorithm to construct an initial set of fuzzy rules.
Keywords :
autonomous aerial vehicles; failure analysis; fuzzy set theory; genetic algorithms; learning systems; neurocontrollers; UAV navigation system; failure risk prediction; fuzzy rule; genetic algorithm; learning ability; neural network; Artificial neural networks; Biological neural networks; Convergence; Navigation; Psychology; XML; Xenon; Neural networks; fuzzy rules; genetic algorithm;
Conference_Titel :
Methods and Systems of Navigation and Motion Control (MSNMC), 2012 2nd International Conference
Conference_Location :
Kiev
Print_ISBN :
978-1-4673-2551-6
DOI :
10.1109/MSNMC.2012.6475088
