Please use this identifier to cite or link to this item: https://doi.org/10.1109/CHICC.2008.4605564
Title: Output feedback neural control of helicopters
Authors: Sam, G.S. 
Peng, T.K.
Zhendong, S.
Xin, L.
Hailong, P.
Keywords: Adaptive
Helicopter control
Neural networks
Output feedback
Issue Date: 2008
Source: Sam, G.S.,Peng, T.K.,Zhendong, S.,Xin, L.,Hailong, P. (2008). Output feedback neural control of helicopters. Proceedings of the 27th Chinese Control Conference, CCC : 696-700. ScholarBank@NUS Repository. https://doi.org/10.1109/CHICC.2008.4605564
Abstract: This paper presents output feedback neural control for helicopters in single-channel modes of operation with dynamics in single-input single-output (SISO) nonlinear nonaffine form. A constructive approach for adaptive NN control design with guaranteed stability is proposed based on the use of the Implicit Function Theorem, Mean Value Theorem, and high gain observer. It is shown that the output tracking error converges to a small neighborhood of the origin, while the remaining closed-loop signals remain bounded. The simulation study demonstrates the effectiveness of the proposed control.
Source Title: Proceedings of the 27th Chinese Control Conference, CCC
URI: http://scholarbank.nus.edu.sg/handle/10635/71348
ISBN: 9787900719706
DOI: 10.1109/CHICC.2008.4605564
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