Please use this identifier to cite or link to this item:
|Title:||Adaptive neural network control for helicopters in vertical flight|
Neural networks (NNs)
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
WEB OF SCIENCETM
checked on Nov 15, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.