Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCST.2007.912242
Title: Adaptive neural network control for helicopters in vertical flight
Authors: Tee, K.P.
Ge, S.S. 
Tay, F.E.H. 
Keywords: Adaptive control
Helicopters
Neural networks (NNs)
Output feedback
Uncertain systems
Issue Date: Jul-2008
Source: Tee, K.P., Ge, S.S., Tay, F.E.H. (2008-07). Adaptive neural network control for helicopters in vertical flight. IEEE Transactions on Control Systems Technology 16 (4) : 753-762. ScholarBank@NUS Repository. https://doi.org/10.1109/TCST.2007.912242
Abstract: In this brief, robust adaptive neural network (NN) control is presented for helicopters in vertical flight, with dynamics in single-input-single-output (SISO) nonlinear nonaffine form. Based on the use of the implicit function theorem and the mean value theorem, we propose a constructive approach for adaptive NN control design with guaranteed stability. Considering both full-state and output feedback cases, 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. © 2008 IEEE.
Source Title: IEEE Transactions on Control Systems Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/54915
ISSN: 10636536
DOI: 10.1109/TCST.2007.912242
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