@inproceedings{f34b1a2a6adf4d43a43ad971c03f3bf5,
title = "Robust Evolving Neuro-Fuzzy Control of a Novel Tilt-rotor Vertical Takeoff and Landing Aircraft",
abstract = "This paper presents the design of a robust evolving neuro-fuzzy output feedback control of a novel tilt-rotor vertical takeoff and landing (VTOL) aircraft. Detailed six degrees of freedom nonlinear model of the VTOL is presented. The asymmetry in the longitudinal centre of gravity position and the motor-propellers with diverse thrust and torque characteristics poses unique challenges for the control. The evolving neuro-fuzzy controller described here is called Parsimonious Autonomous Controller (PAC). PAC is based on model free design and is robust against system uncertainties and input disturbances. The effectiveness of the proposed controller is demonstrated through high fidelity numerical simulations for attitude and altitude control of the VTOL.",
keywords = "Evolving control, Neuro-fuzzy control, Tilt-rotor, Vertical takeoff and landing.",
author = "Harikumar Kandath and Hady, {Mohamad Abdul} and Mahardhika Pratama and Feng, {Ng Bing}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 ; Conference date: 23-06-2019 Through 26-06-2019",
year = "2019",
month = jun,
doi = "10.1109/FUZZ-IEEE.2019.8858923",
language = "English",
series = "IEEE International Conference on Fuzzy Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019",
address = "United States",
}