Please use this identifier to cite or link to this item:
|Title:||Output feedback neural control of helicopters|
|Authors:||Sam, G.S. |
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 8, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.